SimBot Challenge Rules

Please review the rules before taking part in the challenge.

The Alexa Prize SimBot Challenge (the “Competition”) is a skill competition sponsored by Amazon.com Services LLC (“Sponsor”), in which competing teams of college or university students build Alexa skills using the Alexa Skills Kit APIs (“SimBots”) for use in the United States, that allow Alexa multimodal device users to maneuver a simulated robot to interact with an environment and complete challenges via Amazon Alexa.

Selected teams (as outlined below) will be chosen to compete in this Challenge, with final results announced in April 2023. See below for the complete Competition details.

By applying to or participating in the Competition, you agree to these Official Rules. Please read them carefully.

COMPETITION CALENDAR: The Competition starts on October 4, 2021 and ends in June 2023 (the "Competition Period"). The Competition phases are noted in the calendar below. The dates are approximate and are subject to change at Sponsor’s discretion.

Phases

Starts

Ends

Phase 1: Participant application period

October 4, 2021

October 31, 2021

Phase 2: Sponsor application review period

November 1, 2021

November 9, 2021

Phase 3: Initial participant notification period/onboarding

November 10, 2021

December 14, 2021

Phase 4: Benchmark challenge

January 3, 2022

April 29, 2022

Phase 5: Limited second participant application period

May 9, 2022

May 23, 2022

Phase 6: Second sponsor application review period

May 25, 2022

June 3, 2022

Phase 7: Second participant notification period/onboarding

June 6, 2022

June 28, 2022

SimBot boot camp

August 8, 2022

August 11, 2022

Phase 8: Initial skills development period

August 12, 2022

October 16, 2022

Phase 9: Skill certification period

October 17, 2022

October 30, 2022

Phase 10: Internal Amazon beta period

October 31, 2022

November 29, 2022

Phase 11: Initial feedback period

November 30, 2022

February 1, 2023

Phase 12: Semifinals interaction period

February 2, 2023

March 22, 2023

Phase 13: Finals interaction period

March 23, 2023

April 28, 2023

Winners announced

June 2023

ELIGIBILITY: To be eligible to participate in the Competition, you must: (1) be enrolled as a full-time undergraduate or post-graduate student at an accredited college or university (other than colleges or universities located in any of the Restricted Jurisdictions defined below) (“Universities”) and remain a full-time student in good standing at such University while participating in the Competition; (2) be at or above the age of majority in your country, state, province or jurisdiction of residence at the time of entry; and (3) not be a person or entity under U.S. export controls or sanctions. Competition is void in Cuba, Iran, Syria, North Korea, Sudan, the region of Crimea, and where prohibited by law (“Restricted Jurisdiction”). People who, during the Competition Period, are directors, officers, employees, interns, and contractors (“Personnel”) of Sponsor, its parents, subsidiaries, affiliates, and their respective advertising, promotion and public relations agencies, representatives, and agents (collectively, “Competition Entities”), immediate families members of such Personnel (parents, siblings, children, spouses, and life partners of each) and members of the households of such Personnel (whether related or not) are ineligible to participate in this Competition. Sponsor reserves the right to verify eligibility and to adjudicate on any dispute at any time.

Entrants (“Entrants”) must enter as part of an “Entrant Team” consisting of one or more students from a single University. An Entrant is only permitted to be part of one Entrant Team. Any Entrant that is part of more than one Entrant Team may be disqualified and his/her corresponding Entrant Teams may be disqualified at the sole discretion of Sponsor. Only one member of the Entrant Team may submit an application on behalf of an Entrant Team but all those listed on the application are Entrants. All prize money payable to Entrant Teams will be split evenly among the Entrants of a winning Entrant Team (based on the pre-tax amount of prize money), as identified in the application, as updated as permitted by these Official Rules, and who maintain full-time student status in good standing at their University during the entire Competition Period.

Each team must select a faculty advisor, who, with respect to that team, will act as the official representative for the Entrant Team’s University (the “Faculty Advisor”). Each Entrant Team must have its own Faculty Advisor; Faculty Advisors may not represent multiple teams. Faculty Advisors are not members of the Entrant Team and will not receive any portion of any prize. Faculty Advisors must remain full time employees of the Entrant Team University during the entire Competition Period. During the Competition Period, but no later than February 1, 2023, the Faculty Advisor may request to remove members from the Entrant Team or to add additional members to the Entrant Team. The Faculty Advisor must provide an explanation of the reason for the removal or addition, and any proposed new member must provide documentation requested by Sponsor and agree to comply with these Official Rules. Changes to the Entrant Team are subject to Sponsor’s approval in its sole discretion. If at any point during the Competition Period, the Entrant Team’s Faculty Advisor cannot continue to serve as a Faculty Advisor, the Entrant Team may submit a request to Sponsor to select a new Faculty Advisor. Changes to the Entrant Team’s Faculty Advisor are subject to Sponsor’s approval in its sole discretion. If an Entrant Team fails to have a Faculty Advisor at any point in time during the Competition, for any reason, the Entrant Team may be disqualified.

Each Entrant must be eligible to participate in this Competition and comply with these Official Rules or the Entrant, and the Entrant Team associated with that Entrant, may be disqualified. This Competition is subject to all applicable federal, state, territorial, provincial, and local laws. Competition is void where prohibited. By participating in the Competition, all Entrants accept and agree to comply with and abide by these Official Rules and the decisions of the Sponsor which will be final and binding including the Sponsor’s right to verify eligibility, to interpret these Official Rules, and to resolve any disputes relating to this Competition at any time. Only Entrants may work on the SimBot, although members of the Alexa team may provide support to the Entrant Team during the Competition Period, and the Faculty Advisor, and other students and faculty members at the Entrant Team’s University may provide support and advice to the Entrant Teams and may co-author the Technical Article (as defined below) or other research papers.

DESCRIPTION OF COMPETITION PHASES:

PHASE 1 “Participant Application Period”: Between October 4, 2021 and October 31, 2021, the leader of each Entrant Team that wishes to enter the Competition may visit TKTKTK (“Competition Site”) where they may submit their entry information via the YouNoodle, Inc. (“YouNoodle”) application portal, including, but not limited to: complete names, contact information and resumes of all Entrant Team members, proof of University enrolled status (e.g., verification of enrollment or an uploaded copy of Entrants’ student IDs), name and contact information of a sponsoring Faculty Advisor from the Entrant Team’s University, and bio for each Entrant Team member.

SimBot Challenge: SimBot Challenge is an interactive, multimodal dialog-driven game challenge in which a virtual task-driven embodied robot in a simulated home or work environment assists a human user in completing real-world tasks by continuously learning, and gaining the ability to perform commonsense reasoning. The robot, an AI-driven virtual agent designed by each Entrant Team, should perceive its visual environment and understand and interact in conversational language with human users. The objective of the game is for the simulated robot to learn and complete increasingly more complex tasks in an efficient manner with help from a human user (player) as needed. Entrant Teams’ robots will need to be able to appropriately perceive, reason, and take actions in the environment to complete all tasks, and interact with the user to clarify ambiguous instructions and obtain additional information when needed. Participating teams are responsible for designing and delivering a multi-modal conversational AI model that is capable of executing and reasoning the above scenarios efficiently to completion.

Each Entrant Team will be required to answer the following questions:

  1. What is your team’s vision for your SimBot?
  2. How will your SimBot help its users?
  3. How do you want users to feel at the end of an interaction with your SimBot?
  4. How would your team measure success in the Competition?
  5. Please share sample interactions you expect your SimBot to achieve by the end of the Competition.
  6. Describe, in detail, your scientific approach, the related system architecture, any innovative claims, technical challenges you will need to overcome, and risks. Plan for operating at scale when you define the architecture. (2 page PDF structured as a technical paper and architecture diagram with 1 additional page for visual or text explanation of key components and data flow).
  7. What is novel about the team’s approach? (This may be completely new approach or a novel synthesis or extension of existing techniques).
  8. How do you think your work will impact the field of AI?
  9. Please attach an overview of the primary roles, subject matter expertise, and focus/specialty of each of your team members. (1 page)
  10. Please provide a summary of the technical work/research (relevant to your proposed architecture), yours or others’, that you will leverage and how.
  11. How will you ensure you create an experience users find engaging?

Entry Applications may be submitted at any time during the Participant Application Period. Only one individual per Entrant Team may submit an Entry Application on behalf of their Entrant Team. Other members of the Entrant Team must accept the invitation to join the team via the YouNoodle application portal. All Entrants must create an account with YouNoodle if they have not done so already in order to submit an Entry Application or accept an invitation to join an Entrant Team and participate in the Competition. Creating and maintaining a YouNoodle account is free of charge. All Entry Applications must be complete when the Participant Application Period closes at 11:59 pm Pacific Time on October 31, 2021. Entry Applications are not complete until all the online prompts and instructions to upload the Entry Application have been properly followed, the Official Rules have been accepted, and all Entrant Team members and the Faculty Advisor have accepted their invitations to join the Entrant Team via the YouNoodle application portal. Entry Applications may not be revised once submitted. Entry Applications will not be returned and become the property of the Sponsor.

Entry Terms: Determination of compliance with entry and other requirements and these Official Rules will be in the sole discretion of the Sponsor.

By entering, Entrants warrant that:

  1. entries are the original work of the Entrant Team or an update to an original work of the Entrant Team;
  2. entries do not infringe or violate the rights of any third party, including but not limited to, copyrights, trademarks or copyrighted material not owned by the Entrant Team, contract and licensing rights, rights of publicity or privacy, moral rights, or any other intellectual property rights; and
  3. entries are not subject to any third party agreements, and that Sponsor will not be required to pay or incur any sums to any person or entity as a result of its exercise of any rights granted under these Official Rules.

Additional Requirements

Entrant Teams must submit their SimBots via Sponsor’s Developer Portal, and in doing so must agree to the Amazon Developer Services Agreement (“Developer Agreement”). SimBots must comply with the terms applicable to “Alexa Skills” in the Developer Agreement, including the content guidelines and all other Program Policies (as defined in the Developer Agreement). SimBots that cause any harm, as determined by Sponsor in its sole discretion, will be disqualified from the Competition. Questionable or controversial designs or content must be cleared with Sponsor prior to being deployed in a SimBot. All SimBots must interact with users using only the English language. SimBots may not request any personal data or personally identifiable information from Alexa users. All Entrant Teams must host their SimBots using Amazon Web Services (“AWS”) Lambda, and in doing so must agree to the terms of the AWS Customer Agreement. However, Entrant Teams may use other frameworks or web services to build their SimBot, and SimBots may make external calls to other services during run-time execution. During all phases of the Competition, Sponsor may in its sole discretion, require all Entrant Teams to provide periodic status updates, reports, or demonstrations of the SimBots. Sponsor may also require all Entrant Teams to comply with additional rules, requirements, or procedures that Sponsor determines, in its sole discretion, are necessary for the administration of the Competition. Sponsor may, in its sole discretion penalize teams for noncompliance with any rules, requirements, or procedures, up to and including disqualification from the Competition.

Sponsor may also, in its sole discretion, require all SimBots to adhere to requirements designed to ensure that SimBots are focused on the goal of advancing the science of conversational artificial intelligence and to ensure a positive experience for Alexa customers using the SimBot. Sponsor may determine any appropriate penalties for noncompliance with those requirements, including temporary suspension of the SimBot, disregarding ratings for interactions that are non-compliant with such policies, or disqualification from the Competition.

Sponsor may provide Entrants selected to participate in the Competition access to software, software development kits, libraries, APIs, documentation, sample code, templates, data sets, and related materials (“Program Materials”) that may be used in connection with the Competition. If an Entrant uses any Program Materials, he or she is subject to and agrees to comply with Sponsor’s Program Materials License Agreement. Program Materials may include APIs, data sets, and other materials that are not public (“Non-Public Materials”). Entrant Teams whose SimBots are made available through Sponsor’s Alexa service (beginning in Phase 10, below) will also receive automatic speech recognition text transcriptions and other data (e.g., confidence scores) relating to Alexa user interactions with Entrant Team’s SimBot (“Interaction Data”). Each Entrant (and each Faculty Advisor) agrees that he or she will not disclose Non-Public Materials or Interaction Data to anyone other than other Entrants of the Entrant Team and the Entrant Team’s Faculty Advisor without Amazon’s prior written consent. Each Entrant (and each Faculty Advisor) also agrees that he or she will use Non-Public Materials and Interaction Data only in connection with the development and operation of (a) a SimBot as part of the Competition and in compliance with these Official Rules and (b) following the completion of the Competition Period, a SimBot or related bot operating as a stand-alone Alexa skill. Entrants (and Faculty Advisors) may not use Non-Public Materials or Interaction Data for any other purpose. Prior to the conclusion of the Competition Period, Entrants may not publish their SimBot as a stand-alone Alexa Skill or use the Non-Public Materials or Interaction Data to operate the SimBot as a stand-alone Alexa Skill or in connection with other Alexa skills. Entrants (and Faculty Advisors) must return or destroy all Non-Public Materials and Interaction Data (in any form and including, without limitation, all summaries, copies and excerpts of the same) promptly following any request from Sponsor, or if the Entrant Team discontinues the development or operation of its SimBot. If any Entrant or Faculty Advisor is disqualified from the Competition, leaves the University, or otherwise terminates their participation in the Competition, that individual must immediately return or destroy all Non-Public Materials and Interaction Data in their possession. Sponsor reserves the right in its sole discretion to impose additional terms and conditions on the use of Program Materials, and to condition access to Program Materials on Entrants’ agreement to those terms and conditions.

PHASE 2 “Sponsor Application Review Period”: From November 1, 2021, to November 9, 2021, all eligible Entry Applications will be reviewed by a panel of judges chosen by the Sponsor. Up to ten Entrant Teams determined by Sponsor according to the criteria described below will be chosen to participate in the Challenge described below. To select the Entrant Teams chosen to advance to the Challenge, Sponsor will review each of the Entry Applications using the following criteria:

  • The potential scientific contribution to the field;
  • The technical merit of the approach;
  • The novelty of the idea; and
  • An assessment of the Entrant Team’s ability to execute against their plan.

PHASE 3 “Initial Participant Notification Period and On-Boarding”: Leaders of Entrant Teams that have submitted Entry Applications and have been selected by Sponsor to participate in the Competition will be notified by email at the email address provided at time of Entry Application between November 10, 2021, and December 14, 2021. Entrant Teams acknowledge that some Entrants and Faculty Advisors may have participated in prior iterations of the Alexa Prize competition (“Prior Year Teams”).

Stipends: Each Entrant Team selected to participate during the Initial Participant Notification Period will be eligible to receive a stipend award of $250,000 U.S. dollars (paid in any number of installments as determined by Sponsor in its sole discretion, subject to Entrant Team’s continued participation in and eligibility for the SimBot Challenge), which will be awarded to the Universities of the selected Entrant Teams in the form of restricted research grants. These stipends will be awarded to the Universities and not the Entrant Teams or any individual Entrant, and will be subject to the University signing and returning any documents required by Sponsor (including IRS forms W-9 and/or W-8) and to the University agreeing in writing that no more than 35% of the research grants may be allocated to administrative fees. Entrant Teams will not be eligible to begin participating in the Competition until all required documentation has been completed by the University. The grants will be awarded to support two full-time students or the equivalent of two full-time students during the Competition and one month of the Faculty Advisor’s salary. Each University will be responsible for allocating and managing the funds within these guidelines and for payment and reporting of any required taxes, withholdings, fees or duties. Sponsor is not responsible for ensuring all or any portion of stipend research grants are distributed to Entrants. Each member of an Entrant Team whose University receives a stipend award, and its Faculty Advisor, will also receive Alexa-enabled devices (up to a maximum of four devices per Entrant Team, including the device provided to the Faculty Advisor), free AWS services to support the development of their SimBot (subject to reasonable limitations set by Sponsor), and support from the Alexa team as determined by Sponsor.

Stipends are non-transferable except as directed by Sponsor. No stipend substitutions or cash redemptions are allowed except as designed by Sponsor. Except where prohibited by law, all federal, state, provincial or other tax liabilities or withholdings are the responsibility of the University and the Sponsor will not be responsible for any tax deductions which may be necessary, except that Sponsor may withhold taxes as required by law. Universities are responsible for any costs and expenses associated with stipend acceptance and use. If an Entrant Team withdraws from the Competition or does not remain compliant with these Official Rules, Sponsor will be relieved of any obligation to pay any remaining portion of the stipend to the Entrant Team’s University. All details of stipend not specified herein shall be determined solely by Sponsor.

PHASE 4 “Benchmark Challenge”: From January 3, 2022 through April 29, 2022, selected Entrant teams will participate in a Benchmark Challenge. During the Benchmark Challenge, participants will build preliminary SimBots (machine learning models that can complete goals given a dialog history and scene images) using a dataset released by Amazon. The Benchmark Challenge will be publicly hosted on evai.ai, and will be subject to and governed by the Benchmark Challenge rules that will be posted on eval.ai no later than January 3, 2022. Because the Benchmark Challenge will be open to the public, teams may participate even if they were not selected for the SimBot Challenge. Following the Benchmark Challenge, Amazon in its sole discretion may select up to four additional teams to participate in the Simbot Challenge, in accordance with the process below.

PHASE 5 “Limited Second Participant Application Period”: From May 9, 2022 through May 23, 2022, teams that successfully participated in the Benchmark Challenge during Phase 4 may apply to be selected to participate in the Simbot Challenge. Entrant Teams previously selected in Phase 1 do not need to re-apply. As in Phase 1, new Entrant Teams must submit their entry information and responses to the entry questions via the YouNoodle, Inc. (“YouNoodle”) application portal, following the process set forth in Phase 1 above. All application procedures, Entry Terms, and Additional Requirements set forth for Phase 1, above, apply in full for Entrant Teams applying during Phase 5. All Entry Applications must be complete when the Participant Application Period closes at 11:59 pm Pacific Time on May 23, 2022.

PHASE 6 “Second Sponsor Application Review Period”: From May 25, 2022, to June 3, 2022, all eligible Entry Applications will be reviewed by a panel of judges chosen by the Sponsor. Up to four Entrant Teams determined by Sponsor may be chosen to participate in the Challenge described below. In addition to the criteria considered during the Sponsor Review period in Phase 2, the judges may consider the Entrant Team’s performance in the Benchmark Challenge when selecting additional participating teams.

PHASE 7 “Second Participant Notification Period and On-boarding”: Leaders of additional Entrant Teams that have submitted Entry Applications and have been selected by Sponsor to participate in the Competition will be notified by email at the email address provided at time of Entry Application between June 6, 2022, and July 15, 2022. Entrant Teams acknowledge that some Entrants and Faculty Advisors may have participated in prior iterations of the Alexa Prize competition (“Prior Year Teams”). Each Entrant Team selected to participate during the Second Participant Notification Period will be eligible to receive a stipend award of $200,000 U.S. dollars (paid in any number of installments as determined by Sponsor in its sole discretion, subject to Entrant Team’s continued standing in the Simbot Challenge), which will be awarded to the Universities of the selected Entrant Teams in the form of restricted research grants. All restrictions on Stipends set forth above for Stipends awarded during Phase 3 will apply in full to Stipends provided to Entrant Teams in Phase 7.

SIMBOT BOOT CAMP All Entrant Teams will be invited to an Alexa Prize Simbot Boot Camp held in August 2022 at Sponsor’s headquarters in Seattle, Washington or alternative location as determined by Sponsor. Sponsor will provide for the cost of the Faculty Advisor and four members from each Entrant Teams’ airline tickets (non-refundable coach class booked through Sponsor at least 14 days in advance) from the city where their University is located to Seattle, Washington, and the provision of hotel rooms in Seattle, Washington, to permit members of each Entrant Team (up to 4 members as determined by Sponsor) and the Faculty Advisor to attend the Boot Camp. Travel expense subsidies may be subject to tax information reporting and withholding to the extent required by law. Attendance at the Boot Camp is not required and will not affect an Entrant Team’s opportunity to win. Sponsor may also choose to hold the summit virtually and in which case Entrant Teams will not receive any payment for the value of travel expenses.

PHASE 8 “Skills Development Period”: From August 12, 2022 through October 16, 2022, selected Entrant Teams will develop their SimBot. Prior Year Teams may utilize and incorporate any concepts, works, inventions, information, designs, programs, or software created by Prior Year Teams, provided that the Entrant Teams have obtained all of the rights, licenses, and permissions in writing from any person who may have helped create the SimBot or that are otherwise necessary for the Entrant Team to distribute the SimBot and to grant the licenses set forth in these Official Rules and in the Developer Agreement. Any Entrant Team may incorporate concepts, works, inventions, information or designs described by any Prior Year Team in its published technical articles. Entrant Teams must submit their SimBot to Sponsor for certification no later than 11:59 pm Pacific Time on October 30, 2022.

PHASE 9 “Skill Certification Period”: From October 17, 2022 through October 30, 2022, Entrant Teams must revise their SimBots in response to feedback from Sponsor to ensure that their skills are certified prior to being made available to end users of the Alexa service. SimBots must pass certification in order to be eligible to participate in a closed beta program for employees of Sponsor (the “Beta Program”).

PHASE 10 “Internal Amazon Beta Period”: Beginning on October 31, 2022, SimBots that have passed certification will be made available via Sponsor’s Beta Program. Each SimBot’s Interaction Ratings (as defined below) collected through the Beta Program will be provided to the Entrant Team. Entrant Teams may continue to improve their SimBots throughout the Internal Amazon Beta Period. Sponsor may impose Availability Criteria, including but not limited to a minimum mean Interaction Rating, uptime requirements, and ability to filter offensive content, that a SimBot must meet in order to exit the Beta Program and be made available to Amazon customers through an Alexa Skill operated by Sponsor that allows users to interact with SimBots (the “Alexa Prize Skill”). Sponsor may require SimBots that have not met the Availability Criteria to remain in the Beta Program, and may set deadlines by which all SimBots must meet the Availability Criteria in order to continue participating in the Competition. Additionally, Sponsor may condition a SimBot’s inclusion in the Alexa Prize Skill on that SimBot continuing to meet the Availability Criteria.

PHASE 11 “Initial Feedback Period”: From November 30, 2022 through February 1, 2023, the SimBots that have passed certification and that have met all Availability Criteria will be made available to Alexa users through the Alexa Prize Skill, as described below. Each SimBot’s Interaction Ratings collected during the Initial Feedback Period will be provided to the Entrant Team. Entrant Teams may continue to improve their SimBots throughout the Initial Feedback Period.

The Alexa Prize Skill; Ratings. During the Internal Amazon Beta Period, Initial Feedback Period, the Quarterfinals Interaction Period, the Semifinals Interaction Period, and the Additional Feedback Period, Sponsor may allow Alexa users to invoke the Alexa Prize Skill using a particular invocation phrase. In response, Alexa may direct the user to an Entrant Team’s SimBot to interact with the user (without identifying to the user which Entrant Team’s SimBot has been selected). The SimBot will then engage the user to complete certain virtual tasks or challenges in a virtual environment. The user may converse with the SimBot until the user ends the interaction by saying “Stop” or otherwise indicating the end of the current interaction.

At the end of the interaction, users will be asked to rate the SimBot on a scale of 1 to 5 based on the user’s satisfaction with the assistance provided by the SimBot (the “Interaction Ratings”). Sponsor may determine in its sole discretion when and how frequently each SimBot is made available to users and the method by which users invoke the Alexa Prize Skill. All SimBots may not be selected to interact with users the same number of times. When calculating Interaction Ratings for any SimBot and for any purpose, Sponsor may elect to disregard Interaction Ratings from Alexa users for the purpose of selecting a finalist SimBot if (a) the number of Interaction Ratings for a SimBot from the applicable Alexa user exceeds a limit determined by Sponsor in its sole discretion (in which case Interaction Ratings will be counted up to such limit), (b) Sponsor determines in its sole discretion that any individual has submitted Interaction Ratings using more than one user account, (c) Sponsor determines in its sole discretion the Interaction Ratings may have been generated by script, macro, bot, or other automated means, or (d) Sponsor determines in its sole discretion that inclusion of an Interaction Rating would reduce the integrity of the Interaction Ratings. Any Interaction Ratings disregarded by Sponsor will be void. Entrant Teams are prohibited from rating their own or any other SimBot or from obtaining Interaction Ratings or user interactions by any fraudulent or inappropriate means, including, without limitation, paying for Interaction Ratings, agreeing to exchange Interaction Ratings with another person, offering prizes or other inducements to members of the public, using a script, macro, bot, or other automated means to generate user interactions or Interaction Ratings, or encouraging any other person or entity to engage in any of the foregoing, as determined by Sponsor in its sole discretion. Any attempt by an Entrant Team, any Entrant Team member or his or her family or friends, or any other individual to obtain Interaction Ratings or user interactions using any mechanism that violates these Official Rules, or any other kind of fraudulent or inappropriate mechanism, as determined by Sponsor in its sole discretion, may result in disqualification.

In addition to Interaction Ratings provided by users, each SimBot interaction will be evaluated on the basis of Goal Success Rate (i.e., did the SimBot correctly complete the intended task) and Cost Function Performance (i.e., how efficiently did the SimBot complete the intended task). The scoring rubric explaining how Cost Function Performance will be calculated will be shared with all Entrant Teams prior to the beginning of the Initial Feedback Phase. Entrant Teams’ SimBots will be ranked throughout the competition using an overall score comprised of a weighted average of Interaction Ratings, Goal Success Rate, and Cost Function Performance (“Overall Ranking”).

PHASE 12 “Semifinals Interaction Period”: Between February 2, 2023 and March 22, 2023, Alexa users will have the opportunity to interact with and rate eligible SimBots through the Alexa Prize Skill. Entrant Teams may continue to improve their SimBots throughout the Semifinals Interaction Period. Each SimBot’s Interaction Ratings collected during the Semifinals Interaction Period may be provided to that SimBot’s Entrant Team, as determined by Sponsor in its sole discretion. At the conclusion of the Semifinals Interaction Period, the three SimBots with the highest Overall Ranking (with ties broken by the Goal Success Rate of each SimBot) and one or more SimBots selected by Sponsor in its sole discretion based on Sponsor’s evaluation of their relevance, coherence, accuracy, interestingness, speed and scientific merit (the “Finalist SimBots”) will proceed to the Finals Interaction Period as described below.

Disclosure of Third-Party Funding. If any Entrant Team receives any third-party funding to facilitate its participation in this Competition, such funding must be disclosed to Sponsor no later than January 1, 2023, along with any requirements imposed on the Entrant Team in connection with the funding. Entrant Teams may not accept or use any third-party funding if acceptance or use of that funding, or any requirements imposed in connection with that funding, would conflict with these Official Rules.

PHASE 13 “Finals Interaction Period”: Between March 23, 2023 and May 26, 2023, Alexa users will have the opportunity to interact with and rate eligible Finalist SimBots through the Alexa Prize Skill. Entrant Teams may continue to improve their SimBots throughout the Finals Interaction Period. Each Finalist SimBot’s Interaction Ratings collected during the Finals Interaction Period may be provided to that Finalist SimBot’s Entrant Team, as determined by Sponsor in its sole discretion. The average of the Interaction Ratings collected for a SimBot during the Finals Interaction Period are the “Finals Interaction Rating Average.” At the conclusion of the Finals Interaction Period, the three Finalist SimBots with the highest Overall Ranking (with any ties broken by the Goal Success Rate of each SimBot) will be awarded prizes as described below.

Each Finalist Entrant Team agrees to maintain the SimBot so that it is available to Alexa customers for at least six months following the public announcement of the winner of the Competition. If any Finalist Entrant Team is found to be in non-compliance with these Official Rules or raises other issues of significant concern to Sponsor, the Entrant Team may be disqualified, and Sponsor shall have no further obligation to such Finalist Entrant Team. An alternate Finalist Entrant Team may be selected by Sponsor in its sole discretion, time permitting.

Technical Publication. By no later than March 22, 2023, all participating Entrant Teams must submit a technical article including (a) the technical approach for their SimBot, and (b) any comparative experiments performed by the Entrant Team and results of those experiments (a “Technical Article”). Entrant Team’s Technical Article must include sufficient detail to permit other researchers to replicate the work. However, Technical Articles may not include any Non-Public Materials, Interaction Data, or other confidential information of Sponsor or its affiliates. If a Technical Article does not provide sufficient detail to replicate the work, Sponsor may require the Entrant Team to provide Sponsor any additional information needed to replicate the work. Sponsor will publish the Technical Articles. Prior to the publication, Sponsor will not disclose Technical Articles to third parties. Entrant Teams may update their Technical Articles prior to the Finals Event.

Entrants may publish other technical articles describing their work (“Additional Articles”), but prior to submitting any such technical articles for publication, Entrant Teams must obtain Sponsor’s written approval. Additional Articles may not include any Non-Public Materials, Interaction Data, or other confidential information of Sponsor or its affiliates. Entrants must submit any Additional Articles to Sponsor for review and comment at least two weeks prior to the submission deadline and must make, prior to submission, any changes or deletions requested by Sponsor to protect confidential or other sensitive information.

Prizes:

2021 First-Place Prize (1): The winning Entrant Team will receive $500,000 U.S. dollars awarded in the form of checks divided equally among all Entrant Team members.

2021 Second-Place Prize (1): The Entrant Team that receives the second highest Composite Score will receive $100,000 U.S. dollars awarded in the form of checks divided equally among all Entrant Team members.

2021 Third-Place Prize (1): The Entrant Team that receives the third highest Composite Score will receive $50,000 U.S. dollars awarded in the form of checks divided equally among all Entrant Team members

Prize Conditions. Prizes are non-transferable except as directed by Sponsor. No prize substitutions allowed. Except where prohibited by law, all federal, state, provincial or other tax liabilities are the responsibility of the prize winners, the Sponsor will not be responsible for any tax deductions which may be necessary and Sponsor reserves the right to withhold taxes as required by law. Prize winners will be responsible for paying all costs and expenses related to the prize that are not specifically mentioned, including, but not limited to, taxes, withholdings, and any other expenses that might reasonably be incurred by the winner in receiving or using the prize. All prizes awarded will be subject to any taxes Sponsor is required by law to withhold as well as applicable sales, use, gross receipts, goods and service, or similar transaction based taxes. IF TAXES ARE APPLICABLE TO THE PRIZE(S), IT IS THE RESPONSIBILITY OF THE WINNER TO PAY TO THE APPROPRIATE AUTHORITIES. PAYMENTS TO COMPETITION WINNERS ARE SUBJECT TO THE EXPRESS REQUIREMENT THAT THE WINNER SUBMIT TO SPONSOR ALL DOCUMENTATION REQUESTED BY SPONSOR (INCLUDING FORMS W-9 OR W-8BEN AS REQUESTED BY SPONSOR) TO PERMIT COMPLIANCE WITH ALL APPLICABLE STATE, FEDERAL, LOCAL AND FOREIGN (INCLUDING PROVINCIAL) TAX REPORTING AND WITHHOLDING REQUIREMENTS. Prize winners are responsible for ensuring that the tax documentation submitted to Sponsor complies with all applicable tax laws and requirements. If a winner fails to provide the documentation or submits incomplete documentation, the prize may be forfeited and Sponsor may, in its sole discretion, select an alternate winner.

Sponsor will divide all awards that are payable to Entrant Teams evenly among all Entrant Team members and distribute accordingly. Designation as a prize winner is subject to Entrant’s proof of compliance with these Official Rules, maintaining compliance with these Official Rules and approval by the Sponsor. All details of prizes not specified herein shall be determined solely by Sponsor.

PRIVACY: Entrants and Faculty Advisors acknowledge and agree that Sponsor may collect, store, share and otherwise use personally identifiable information provided during the application process and the Competition, including, but not limited to, name, mailing address, phone number, and email address. All personally identifiable information collected is subject to and will be used in accordance with Sponsor’s Privacy Notice (www.amazon.com/privacy), Eval.ai’s Privacy Policy (https://eval.ai/privacy-policy), and YouNoodle’s Privacy Policy (www.younoodle.com/privacy), including for administering the Competition and verifying Entrants’ and Faculty Advisors’ identities, addresses and telephone numbers in the event an entry qualifies for a prize. YouNoodle’s servers are located in the United States. By participating in this Competition, Entrants and Faculty Advisors are authorizing the transfer of personal data to the United States for purposes of administering the Competition, conducting publicity about the Competition and such additional purposes consistent with Sponsor’s goals or the Competition goals. By entering the Competition, Entrants and Faculty Advisors consent to Sponsor’s and YouNoodle’s collection, and Sponsor’s use and disclosure of entrants’ personally identifiable information for these purposes. The data controller for information collected by Sponsor is Amazon.com Services LLC, 410 Terry Ave North, Seattle, Washington 98109, USA. By entering the Competition, each Entrant/Entrant Team represents and warrants that he or she has obtained all of the rights, licenses, and permissions in writing from any person who may have helped create the SimBot or that are otherwise necessary for the Entrant Team to distribute the SimBot and to grant the licenses set forth in these Official Rules and in the Developer Agreement. Entrants MAY NOT submit SimBots created by any person other than themselves or their Entrant Team members. Decisions of the Sponsor are final and binding.

INTELLECTUAL PROPERTY: As between Sponsor and Entrant Teams, all SimBots created by Entrant Teams will remain the property of the respective Entrant Teams (excluding any Program Materials incorporated in the SimBot, which will remain property of Sponsor). However, Sponsor and its designees will have rights to the SimBots as described below. By submitting a SimBot in this Competition, each Entrant represents and warrants that he or she owns, or otherwise has the right to use and license, all of the intellectual property and other rights in and to the SimBot. Each Entrant hereby grants Sponsor and its affiliates a non-exclusive, perpetual, irrevocable, worldwide, and royalty-free license to make, have made, use, sell, offer for sale, import, export, license, exploit, promote, reproduce, make available, publicly display, publicly perform, create derivative works of, and otherwise exercise all intellectual property and other rights in and to any concepts, works, inventions, information, designs, programs, or software that Entrant or his or her Entrant Team develop or submit in connection with the Competition or the creation of the SimBot, including any of the foregoing included or described in any Technical Article or other materials provided to Sponsor. In addition, upon Sponsor’s request, all Entrant Teams must provide Sponsor all source code and algorithms developed in connection with the Competition. Each Entrant agrees that he or she will do or perform, or cause to be done and performed, all such further acts and things, and shall execute and deliver all such other agreements, certificates, instruments and documents as Sponsor may reasonably request in order to carry out the intent and accomplish the purposes of the foregoing license.

Except where prohibited, each prize winner further consents (and agrees to sign any additional documents required by Sponsor to formalize, effect or perfect such consent) to Competition Entities’ use of SimBots as specified herein and the use of any Entrant names, likeness, biographical information, and voice in advertising, publicity, trade, and other marketing and promotional materials (including video, audio, and print through all means of distribution) worldwide without compensation, notice or approval, and prize winner disclaims any ownership rights to the content of such materials.

WAIVER, RELEASE, AND LIMITATION OF LIABILITY:

EACH ENTRANT ACCEPTS THE CONDITIONS STATED IN THESE OFFICIAL RULES, AGREES TO BE BOUND BY THE DECISIONS OF THE SPONSOR, WARRANTS THAT HE OR SHE IS ELIGIBLE TO PARTICIPATE IN THIS COMPETITION, AND AGREES TO RELEASE, INDEMNIFY, AND HOLD HARMLESS COMPETITION ENTITIES AND THE PERSONNEL OF EACH FROM AND AGAINST ANY AND ALL CLAIMS, LOSSES, LIABILITY, AND DAMAGES OF ANY KIND (INCLUDING REASONABLE ATTORNEYS’ FEES AND EXPENSES) ASSERTED AGAINST ANY OF THEM, INCURRED OR SUSTAINED IN CONNECTION WITH OR RISING OUT OF ENTRANT’S PARTICIPATION IN THIS COMPETITION OR ANY TRAVEL OR ACTIVITY RELATED THERETO, USE OF ANY SIMBOT OR RIGHTS THEREIN, OR BREACH OF ANY AGREEMENT OR WARRANTY ASSOCIATED WITH THE COMPETITION, INCLUDING THESE OFFICIAL RULES. ANY ATTEMPT TO DELIBERATELY DAMAGE ANY WEBSITE OR UNDERMINE THE LEGITIMATE OPERATION OF THE COMPETITION IS A VIOLATION OF CRIMINAL AND CIVIL LAWS AND, SHOULD SUCH AN ATTEMPT BE MADE, THE COMPETITION ENTITIES AND EACH OF THEIR LICENSEES RESERVE THE RIGHT TO SEEK ANY AND ALL REMEDIES AVAILABLE FROM ANY SUCH PERSON(S) RESPONSIBLE FOR ANY SUCH ATTEMPT TO THE FULLEST EXTENT PERMITTED BY LAW.

Each Entrant hereby acknowledges and agrees that the relationship between themselves and the Competition Entities is not a confidential, fiduciary, or other special relationship, and that the Entrant’s decision to provide the entry to Sponsor for purposes of the Competition does not place the Competition Entities in a position that is any different from the position held by members of the general public with regard to elements of the entry, other than as set forth in these Official Rules. Each Entrant understands and acknowledges that the Competition Entities have wide access to SimBots, technology, designs, and other materials, and that new ideas are constantly being submitted to them or being developed by their own employees. Each Entrant also acknowledges that many ideas may be competitive with, similar to, or identical to the SimBot submission in theme, idea, format, or other respects. Each Entrant acknowledges and agrees that such Entrant will not be entitled to any compensation as a result of Competition Entities' use of any such similar or identical material that has or may come to Competition Entities, or any of them, from other sources. Entrants acknowledge that other Entrants/Entrant Teams may have created ideas and concepts contained in their SimBot design that may have familiarities or similarities to their SimBot design, and that they will not be entitled to any compensation or right to negotiate with the Competition Entities because of these familiarities or similarities.

Entrants further agree that the Competition Entities are not responsible for the following: (a) electronic transmissions, SimBots or entries or notifications that are lost, late, stolen, incomplete, damaged, garbled, destroyed, misdirected or not received by Sponsor or their agents for any reason; (b) any problems or technical malfunctions, errors, omissions, interruptions, deletions, defects, delays in operation or transmission, communication failures and/or human error that may occur in the transmission, shipping errors or delays, receipt or processing of entries or related materials; or for destruction of or unauthorized access to, or alteration of, entries or related material; (c) failed or unavailable hardware, network, software or telephone transmissions, damage to Entrants’ or any person’s computer and/or its contents related to or resulting from participation in this Competition; (d) causes that jeopardize the administration, security, fairness, integrity, or proper conduct of this Competition; (e) any entries submitted in a manner that is not expressly allowed under these Official Rules (all such entries will be disqualified); or (f) any printing errors in these Official Rules or in any advertisements or correspondence in connection with this Competition or the tabulation of Interaction Ratings or scores. Sponsor reserves the right, in its sole discretion, to cancel or suspend this Competition should virus, bugs, fraud, hacking, or other causes corrupt the administration, security, or proper play of the Competition, or in the event Sponsor does not receive a minimum of two qualified entries from separate eligible Entrant Teams. Sponsor further reserves the right, in its sole discretion, to cancel or suspend this Competition or to reschedule or reformat events, including without limitation the Alexa Prize summit or Finals Event, should Sponsor be prevented, in any manner whatsoever, from holding this Competition or any event due to any present or future law (whether or not valid); any act of God, earthquake, fire, flood, epidemic (including, without limitation, any pandemic), accident, explosion or casualty; any civil disturbance or armed conflict; or any other cause of any similar nature outside of Sponsor’s control. In all such cases, notice to this effect will be posted on the Competition Site and prizes to the extent awarded will be awarded as determined by Sponsor prior to cancellation. If, in Sponsor’s opinion, there is any suspected or actual evidence of electronic or non-electronic tampering with any portion of the Competition or if technical difficulties compromise the integrity of the Competition, the Sponsor reserves the right to void suspect entries and/or terminate the Competition and award prizes in its sole discretion. Sponsor reserves the right, in its sole discretion, to disqualify any individual found tampering with the entry process or entry materials or otherwise interfering with the proper administration of the Competition or violating these Official Rules.

DISPUTES: Except where prohibited, you agree that: (1) any and all disputes, claims and causes of action arising out of or connected with this Competition or any prize awarded shall be resolved individually, without resort to any form of class action; (2) any and all claims, judgments and awards shall be limited to actual out-of-pocket costs incurred, including costs associated with entering this Competition, but in no event attorneys’ fees; and (3) under no circumstances will you be permitted to obtain awards for, and you hereby waive all rights to claim, indirect, punitive, incidental and consequential damages and any other damages (other than for actual out-of-pocket expenses), and any and all rights to have damages multiplied or otherwise increased. All issues and questions concerning the construction, validity, interpretation and enforceability of these Official Rules, or the rights and obligations of the Entrant and Sponsor in connection with the Competition, shall be governed by, and construed in accordance with, the laws of the State of Washington without giving effect to any choice of law or conflict of law rules (whether of the State of Washington or any other jurisdiction), which would cause the application of the laws of any jurisdiction other than the State of Washington.

SPONSOR: Amazon.com Services LLC, 410 Terry Ave North, Seattle, Washington 98109, USA.

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US, CA, Sunnyvale
The Frontier AI Assets (FAI) team is looking for a passionate, talented, and inventive Principal Applied Scientist with a strong deep learning and reinforcement learning background to build the training and evaluation assets that advance frontier Generative AI (GenAI) with Large Language Models (LLMs). AI models become more capable largely because of the learning environments, the RL gyms, in which they are trained. FAI builds those gyms and the platform that certifies them, so that model training teams across Amazon can rely on high-quality, graded assets. As a Principal on this team, you will set the technical direction for how these gyms and the tooling around them are built, evaluated, and scaled. Key job responsibilities As a Principal Applied Scientist with FAI, you will: •Set technical direction across data collection, sampling, and evaluation for RL gyms focused on agentic tool use across a range of real-world domains. •Design and lead experiments that produce reliable, efficient signal on what drives model improvement. •Build gym-building tooling and automated quality control that scale with demand. •Advance the science of how gyms are evaluated and validated before they're used in model training. •Act as a hands-on technical leader: produce exemplary, high-quality assets yourself, and audit and support more junior scientists and engineers. •Partner closely with domain experts and cross-functional teams, turning real-world problems into challenging, high-value tasks. •Lead scientific reviews, scrutinize experimental design and verification, probe assumptions, and align teams toward coherent strategies. Contribute to hiring, mentorship, and the development of other scientists. About the team The FAI team has the mission to push the envelope in GenAI with LLMs, in order to provide the best-possible experience for our customers. We build frontier training and evaluation assets, RL gyms and the certification platform behind them, that directly shape how Amazon's models are trained and improved. We value scientific depth, hands-on building, and turning research into measurable impact at scale.
IN, KA, Bengaluru
RBS (Retail Business Services) Tech team works towards enhancing the customer experience (CX) and their trust in product data by providing technologies to find and fix Amazon CX defects at scale. Our platforms help in improving the CX in all phases of customer journey, including selection, discoverability & fulfilment, buying experience and post-buying experience (product quality and customer returns). The team also develops GenAI platforms for automation of Amazon Stores Operations. As a Sciences team in RBS Tech, we focus on foundational ML research and develop scalable state-of-the-art ML solutions to solve the problems covering customer experience (CX) and Selling partner experience (SPX). We work to solve problems related to multi-modal understanding (text and images), task automation through multi-modal LLM Agents, supervised and unsupervised techniques, multi-task learning, multi-label classification, aspect and topic extraction for Customer Anecdote Mining, image and text similarity and retrieval using NLP and Computer Vision for product groupings and identifying duplicate listings in product search results Key job responsibilities As a Senior Research Scientist, you will be responsible to design and deploy scalable GenAI, NLP and Computer Vision solutions that will impact the content visible to millions of customer and solve key customer experience issues. You will develop novel LLM, deep learning and statistical techniques for task automation, text processing, image processing, pattern recognition, and anomaly detection problems. You will define the research and experiments strategy with an iterative execution approach to develop AI/ML models and progressively improve the results over time. You will partner with business and engineering teams to identify and solve large and significantly complex problems that require scientific innovation. You will help the team leverage your expertise, by coaching and mentoring. You will contribute to the professional development of colleagues, improving their technical knowledge and the engineering practices. You will independently as well as guide team to file for patents and/or publish research work where opportunities arise. The RBS org deals with problems that are directly related to the selling partners and end customers and the ML team drives resolution to organization level problems. Therefore, the Senior Research Scientist role will impact the large product strategy, identifies new business opportunities and provides strategic direction which is very exciting.
US, CA, Sunnyvale
Amazon Robotics is seeking an exceptional Applied Scientist to join our Foundation Models and Agentic AI team. This role presents an opportunity to shape the future of robotics through innovative applications of large vision-language-action (VLA) models, reasoning and task planning models, and reinforcement learning. At Amazon Robotics, we leverage advanced robotics, machine learning, and artificial intelligence to solve complex operational challenges at unprecedented scale. Our fleet of robots operates across hundreds of facilities worldwide, working in sophisticated coordination to fulfill our mission of customer excellence. We are pioneering the development of robotics foundation models that: - Enable unprecedented generalization across diverse tasks - Integrate multi-modal learning capabilities (visual, depth, force, tactile, linguistic) - Accelerate policy skill acquisition through imitation learning and reinforcement learning - Enhance robotic perception and environmental understanding - Streamline development processes through reusable capabilities The ideal candidate will contribute to research that bridges the gap between theoretical advancement and practical implementation in robotics. You will be part of a team that's revolutionizing how robots learn, adapt, and interact with their environment. Join us in building the next generation of intelligent robotics systems that will transform the future of automation and human-robot collaboration. Key job responsibilities As an Applied Scientist in the Applied AI and Robotics Foundations Model team, you will: - Model Development and Training: Designing and implementing the model architectures, training and fine tuning the foundation models using various datasets, and optimize the model performance through iterative experiments - Data Management: Process and prepare training data, including data governance, provenance tracking, data quality checks and creating reusable data pipelines. - Experimentation and Validation: Design and execute experiments to test model capabilities on the simulator and on the embodiment, validate performance across different scenarios, create a baseline and iteratively improve model performance. - Code Development: Write clean, maintainable, well commented and documented code, contribute to training infrastructure, create tools for model evaluation and testing, and implement necessary APIs - Research: Stay current with latest developments in foundation models and robotics, assist in literature reviews and research documentation, prepare technical reports and presentations, and contribute to research discussions and brainstorming sessions. - Collaboration: Work closely with senior scientists, engineers, and leaders across multiple teams, participate in knowledge sharing, support integration efforts with robotics hardware teams, and help document best practices and methodologies. A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: - Medical, Dental, and Vision Coverage - Maternity and Parental Leave Options - Paid Time Off (PTO) - 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! About the team Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart, collaborative team of enthusiastic doers that work passionately to apply innovative advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even image yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun.
IN, HR, Gurugram
Lead ML teams building large-scale forecasting and optimization systems that power Amazon’s global transportation network and directly impact customer experience and cost. As an Sr Applied Scientist, you will set scientific direction, mentor applied scientists, and partner with engineering and product leaders to deliver production-grade ML solutions at massive scale. Key job responsibilities 1. Lead and grow a high-performing team of Applied Scientists, providing technical guidance, mentorship, and career development. 2. Define and own the scientific vision and roadmap for ML solutions powering large-scale transportation planning and execution. 3. Guide model and system design across a range of techniques, including tree-based models, deep learning (LSTMs, transformers), LLMs, and reinforcement learning. 4. Ensure models are production-ready, scalable, and robust through close partnership with stakeholders. Partner with Product, Operations, and Engineering leaders to enable proactive decision-making and corrective actions. 5. Own end-to-end business metrics, directly influencing customer experience, cost optimization, and network reliability. 6. Help contribute to the broader ML community through publications, conference submissions, and internal knowledge sharing. A day in the life Your day includes reviewing model performance and business metrics, guiding technical design and experimentation, mentoring scientists, and driving roadmap execution. You’ll balance near-term delivery with long-term innovation while ensuring solutions are robust, interpretable, and scalable. Ultimately, your work helps improve delivery reliability, reduce costs, and enhance the customer experience at massive scale.
US, WA, Bellevue
Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? Have you also wondered what are different ways that the transportation assets can be used to delight the customer even more. If so, the Amazon transportation Services, North America Sort Center Science team is for you . We manage the delivery of tens of millions of products every week to Amazon’s customers, achieving on-time delivery in a cost-effective manner. We are looking for an enthusiastic, customer obsessed Applied Scientist with strong scientific thinking, good software and statistics experience, skills to help manage projects and operations, improve metrics, and develop scalable processes and tools. The primary role of an Applied Scientist within Amazon is to address business challenges through building a compelling case, and using data to influence change across the organization. This individual will be given responsibility on their first day to own those business challenges and the autonomy to think strategically and make data driven decisions. Decisions and tools made in this role will have significant impact to the customer experience, as it will have a major impact on how we operate the middle mile network. Ideal candidates will be a high potential, strategic and analytic graduate with a PhD in (Operations Research, Statistics, Engineering, and Supply Chain) ready for challenging opportunities in the core of our world class operations space. Great candidates have a history of operations research, machine learning , and the ability to use data and research to make changes. This role requires robust skills in research and implementation of scalable products and models . This individual will need to be able to work with a team, but also be comfortable making decisions independently, in what is often times an ambiguous environment. Key job responsibilities Key job responsibilities - Design and develop advanced mathematical optimization and machine learning solutions in the domains of network design and optimization. - Research, prototype, simulate, and experiment with these models using programming languages such as Java and Python; participate in the production level deployment. - Create, enhance, and maintain technical documentation and science designs. - Present to other Scientists, Product, and Software Engineering teams, as well as Stakeholders. - Lead project plans from a scientific perspective by managing product features, technical risks, milestones and launch plans.
US, WA, Seattle
Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video subscriptions such as Apple TV+, HBO Max, Peacock, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. As a Prime Video team member, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you! Key job responsibilities The science challenges include: - Heterogeneous customer responses. The same customer responds differently to ads depending on what they’re watching, how engaged they are, and their broader streaming context. We need to understand and predict this variation to make better advertising decisions in real time. - Signal sparsity in streaming. Unlike search or retail advertising, streaming offers no clicks, no conversions, and limited direct feedback. We must develop creative approaches to infer customer preferences, intent, and tolerance from indirect behavioral signals. - Personalization at scale. A one-size-fits-all ad experience leaves value on the table for both customers and the business. We build systems that adapt ad load, placement, and content to individual viewers across 100M+ customers and 100k+ titles. - Small effects, large variance. Ad interventions typically produce 0.1-2% shifts in engagement, effects easily overwhelmed by natural behavioral variance. Measuring, attributing, and optimizing these small signals requires rigorous experimental design and causal methodologies. - Competing objectives. Revenue, customer engagement, long-term retention, and advertiser value are in tension. We develop principled frameworks to navigate these tradeoffs and optimize for sustainable outcomes rather than any single metric. A day in the life - Contribute to the research and development of ML models that personalize advertising decisions for 100M+ customers across 100k+ titles, with production deployment in mind - Develop deep learning architectures (multi-task learning, embedding-based representations) for customer behavior prediction at scale - Design and analyze large-scale A/B experiments, applying causal inference techniques to measure and optimize the impact of ad strategies on customer engagement and monetization - Partner with engineering to ensure models meet production latency and scalability requirements - Collaborate with product managers to frame business problems as tractable ML problems and translate findings into product decisions - Shape the team’s scientific roadmap, identifying high-impact research directions About the team Prime Video Ads is pioneering the use of Generative AI, Deep Learning and Causal ML to empower the next generation of Ads experience in Prime Video. Our vision is to build the world’s most valuable and differentiated ad-supported streaming platform: one where every ad is relevant to the viewer, and every dollar spent by an advertiser delivers measurable results. We are seeking lead applied scientists who have demonstrated experience in advancing state of the art ML algorithms, particularly in Personalization, Relevance, Casual Inference and Gen-AI areas. Your role will be to deliver these innovations as production-ready systems at Amazon scale.
US, WA, Seattle
Pricing is one of the most consequential decisions Amazon makes, and the science behind it needs to be causally rigorous, not just predictive. The P2 Optimization Science team builds the machine learning (ML) systems that power Amazon's pricing decisions at scale: demand lift models, customer lifetime value (LTV) frameworks, and the experimentation infrastructure that validates whether pricing changes actually work. We're looking for a Research Scientist to own causal inference at the intersection of ML and pricing experimentation. Our team has identified a real gap: the methodological bridge between econometric analysis and production-scale ML pipelines needs a practitioner who lives in both worlds. You'll build conditional average treatment effect (CATE) estimation models, design analysis workflows for pricing experiments, and develop reusable causal ML infrastructure that the broader team — including non-ML scientists — can rely on. If you're a scientist who wants to tackle hard causal identification problems in a high-stakes production environment, and who finds satisfaction in making rigorous methods accessible to a broader team, this role is for you. Key job responsibilities - Design, train, evaluate, and deploy end-to-end causal ML pipelines for pricing use cases, including CATE estimation models and heterogeneous treatment effect frameworks. - Serve as the team's causal ML methodology expert — defining identification strategies, model selection criteria, evaluation standards, and the tradeoffs between econometric and ML approaches to causal estimation. - Contribute causal analysis methodology to pricing A/B test post-analysis and build reusable tooling that economists and other non-ML scientists can adopt without requiring deep ML expertise. - Assess emerging causal inference methods (e.g., synthetic difference-in-differences, generalized random forests, causal representation learning) for applicability to Amazon's pricing context, and author internal methodology proposals for adoption. - Partner with senior economists on identification strategy and causal assumptions, collaborate with software and data engineering partners on production deployment, and align with product managers on experiment design requirements. A day in the life Your work directly shapes the prices customers see on hundreds of millions of Amazon products. In a given week you might investigate an optimization anomaly in simulation and trace it to an unmodeled market dynamic, then design an offline evaluation framework to benchmark competing approaches before committing to online testing. You'll collaborate with senior economists on identification strategy for a pricing experiment, present a science proposal for incorporating a new competitiveness signal into an optimization system, or work with the experimentation platform team on randomization design. You'll also have opportunities to write up novel scientific findings for submission to venues such as KDD, NeurIPS, or the ACM Conference on Economics and Computation. About the team The P2 Optimization Science team sits at the center of Amazon's pricing decisions. We build the ML systems, causal inference pipelines, and experimentation infrastructure that determine how prices are set across Amazon's global catalog. Our team brings together research scientists, economists, and engineers who collaborate closely to turn rigorous methodology into production-quality systems with measurable business impact. We value scientific rigor, clear communication across disciplines, and a culture where every team member's work is designed to be extensible and useful beyond their own project. If you want your science to directly influence how hundreds of millions of customers experience Amazon, this is the team to join.
US, CA, San Francisco
Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. The Data, Insights, Science and Optimization, Consumer Product and Tech (DISCO CPT) team is looking for a Data Scientist to join a team of Data Scientists, Analytics Leads, Business Intelligence Engineers and Data Engineers who analyze big data, provide analytics and insights as well as build models and algorithms that power product for personalized experiences. The team focuses on accelerating Amazon Music customer growth by empowering Product teams to make sound, customer-centric decisions through data and insights. We build data pipelines, science models, self-service analytics, insights and dashboards, deliver engagement and retention at scale. In this role, you will pioneer and execute advanced analytics and experimentation efforts for the Amazon Music product team. You will work with stakeholders and partners to deliver experimentation insights, author scientific artifacts, build scalable models to advance our analytics and science products. The ideal candidate must be willing to effectively lead science solutions, prioritize across multiple stakeholders and projects and be ready to jump into a fast-paced, dynamic and fun environment. Key job responsibilities 1. Data Scientist I on this role will be a thought partner to Product and Engineering organizations through their expertise in experimentation, statistical modeling and advanced analytics 2. Conceptualize and drive strategic growth areas: app performance, stablity and latency experimentation, Gen AI initiatives, and product excellence. 3. Bridge science, analytics, and engineering to deliver solutions informing strategic decisions on AM technology investments and long-term business performance 4. Drive experimentation, measurement efficiency tooling, and ROI tracking for AM leadership 5. Build and maintain causal models to understand customer sentiment and its impact on key engagement/retention metrics 6. Develop structural and predictive models using data science workflows to deliver measurable customer results A day in the life 1. Lead strategic initiatives across visual and voice experiences, experimentation and customer retention stakeholders 2. Conduct experimentation, build causal models to better understand key drivers for customer retention 3. Evaluate existing metrics and lead deep dives to ensure the right measurement framework is leveraged to measure and enhance user adoption through visual and voice interfaces 4. Partner with product managers to translate business questions into actionable science projects 5. Influence product roadmaps through data-driven insights on customer behavior patterns 6. Identify and resolve customer experience friction points with cross-functional teams Drive adoption of best practices and innovative solutions across the organization
US, NY, New York
The Measurement Science team in the Measurement, Ad Tech, and Data Science (MADS) organization of Amazon Ads serves a centralized role developing solutions for a multitude of performance measurement products. We create solutions which measure the comprehensive impact of their ad spend, including sales impacts both online and offline and across timescales, and provide actionable insights that enable our advertisers to optimize their media portfolios. We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision. This Principal Applied Scientist leads the technical vision and execution for Amazon Advertising's performance measurement. Our measurement products and tools help customers understand the holistic impact of their spend on Amazon Ads and optimize their portfolios. This is a complex, multi-disciplinary scientific space spanning machine learning, causal inference, statistics and experimentation, natural language processing, and generative AI. As a GenAI-first organization, we build foundational and agentic models that power advertiser use cases across Ads, while empowering our Applied Scientists to directly build and ship products. You will guide a team of scientists with expertise across different domains to come together and innovate on some of the hardest problems in advertising, made more challenging by evolving privacy regulations and technological changes. In measuring the comprehensive impact of advertising, key challenges you will tackle include capturing impact: 1) both for identified and increasingly unidentified web traffic in light of an evolving global privacy landscape; 2) for outcomes across retailers, including both within and beyond Amazon; and 3) for both short- and long-term impacts of advertising. Key job responsibilities * Driving the scientific vision of the teams in your organization and you advise and influence its technical leadership on performance measurement models and products. * Identifying, tackling, and proposing innovative solutions to intrinsically hard, previously unsolved problems. You solve problems pragmatically, applying judgment and experience to balance trade-offs between competing interests. * Bringing clarity to complex problems, probing assumptions, illuminating pitfalls, fostering shared understanding, and guiding towards effective solutions. * Serving and being recognized by internal and external peers as a thought leader in modeled measurement in Ads. You will engage routinely with the broader scientific community, e.g. as a reviewer, program committee member, workshop organizer, or chair at peer-reviewed internal/external conferences. * Leading by example, with your papers, analyses, and code setting the standard in your organization for scientific engineering excellence. * Leading science and design reviews, aligning teams across your organization around coherent algorithmic strategies. * Influencing your team’s science and business strategy by driving one or more team roadmaps contributing to the organization’s roadmap and taking responsibility for some organizational goals. You drive multiple new product features from inception to production launch. * Guiding the career development of others, actively mentoring and educating the larger applied science community on trends, technologies, and best practices. You drive the documentation of scientific innovation. You attract bar-raising talent from academia and industry. * Staying abreast of academic and industry trends, knowing the state of the art, and building on top of existing solutions instead of reinventing when possible. About the team We are a team of scientists across Applied, Research, Data Science and Economist disciplines. You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds. We partner closely with top-notch engineers, product managers, sales leaders, and other scientists with expertise in the ads industry and on building scalable modeling and software solutions.
US, CA, Sunnyvale
Amazon is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon's scale. We're building robotic systems that combine frontier AI, sophisticated control, and advanced mechanical design to create adaptable automation capable of working safely alongside humans in dynamic environments. This is an opportunity to shape the future of robotics and automation at an unprecedented scale, working with world-class teams pushing the boundaries of what's possible in robotic manipulation, locomotion, and human-robot interaction. We are seeking an Applied Scientist to develop tactile- and force-driven manipulation policies for highly dexterous, multi-fingered robotic hands and grippers. In this role you will research and build policy learning algorithms that enable robotic hands to perform grasping and in-hand manipulation in unstructured, real-world environments, using touch and force feedback as first-class signals rather than afterthoughts. Much of this work is grounded in reinforcement learning. To be successful you need to be highly motivated, dive deep, and deliver to the highest standards. You will demonstrate strong working knowledge of modern policy learning methods, with expertise in taking algorithms from simulation onto real hardware. That means being comfortable working against real physical constraints and treating sim-to-real as a core research problem rather than optimizing for benchmark numbers alone. You will work across tactile signal processing, contact-rich manipulation, sim-to-real transfer, and multi-modal sensor fusion to build robust solutions for autonomous grasping, dexterous re-orientation, and fine motor control. You will bring the desire to learn from new challenges, and the problem-solving and communication skills to work within a highly interactive and experienced team. Key job responsibilities - Design and train manipulation policies that leverage tactile and force feedback for dexterous grasping, in-hand manipulation, and contact-rich tasks, using reinforcement learning, imitation learning, or hybrid approaches. - Drive sim-to-real transfer, closing the gap between simulated and physical performance on real robotic hands. - Shape objectives and control strategies with the hardware in mind, accounting for how motors and actuators actually behave: transmission ratios, torque versus power, backdrivability, and thermal limits. - Build simulation-based and on-robot evaluation frameworks, with benchmarks and metrics that make tactile perception and policy performance systematically comparable across iterations. - Own scientific and technical projects within the tactile sensing and manipulation workstreams, driving from research concept through deployment on physical robotic systems — and, at the senior level, set direction across a workstream. - Collaborate with hardware, mechanical design, firmware, and controls teams — and with partner applied science organizations — to translate research advances into deployable robotic capabilities, and to inform sensor and actuator design decisions with policy-level requirements. - Publish at top-tier venues and build collaborations with the external research community. - Contribute to a strong scientific bar on the team through code and design review, and mentor engineers and interns working on real-world manipulation and sensing problems. A day in the life Your morning might start with a standup alongside hardware and controls engineers reviewing overnight sim-to-real training runs on a multi-finger gripper, debugging why a grasp policy that worked in simulation is slipping on a real sensor array. Mid-morning you join the weekly tactile sensing workstream to align on sensor integration milestones and share early results from a contact-state estimator you have been prototyping. After lunch you spend a focused block iterating on a reinforcement learning reward formulation, testing variations in simulation before queuing runs on the cluster. Later you pair with a mechanical engineer to review sensor placement trade-offs on an upcoming gripper revision, then wrap the day by drafting a short experiment write-up and sketching next steps for a conference submission. No two days look exactly the same: one week you may be collecting teleoperated demonstrations on the physical robot to seed an imitation learning pipeline; the next you could be deep in a codebase refactor to support a new tactile modality. Throughout, you balance hands-on research — writing algorithms, running experiments, analyzing data — with cross-team collaboration and mentoring. The common thread is moving from research insight to working capability on real hardware, with a tight feedback loop between simulation and the physical world. About the team Our is developing next-generation manipulation capabilities for highly dexterous multi-fingered grippers and hands. Our work spans tactile sensor development, manipulation policy learning, and the tight integration of sensing hardware with intelligent control software. We are building systems that can feel, adapt, and manipulate with human-level dexterity. You will join a team working at the frontier of tactile sensing and contact-rich manipulation, helping define how robots perceive and interact with objects through touch. Because we build the hands as well as the policies that drive them, you will have a direct line to the sensor, actuator, and mechanism designs your algorithms depend on — and real influence over how they evolve. This is an opportunity to solve hard problems across perception, learning, and physical interaction alongside a team of scientists and engineers building toward real-world deployment.