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, VA, Arlington
Applied Scientists in AWS Automated Reasoning are dedicated to making AWS the best computing service in the world for customers who require advanced and rigorous solutions for automated reasoning, privacy, and sovereignty. Key job responsibilities The successful candidate will: - Solve large or significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation. - Own strategic problem solving, and take the lead on the design, implementation, and delivery for solutions that have a long-term quantifiable impact. - Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing your deep knowledge and experience. - Develop strategic plans to identify fundamentally new solutions for business problems. - Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues. A day in the life This is a unique and rare opportunity to get in early on a fast-growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact. About the team Diverse Experiences Amazon Automated Reasoning values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Automated Reasoning? At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for automated reasoning across all of Amazon's products and services. We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest automated reasoning challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
US, VA, Arlington
Are you passionate about programming languages, applying formal verification, program analysis, constraint-solving, and/or theorem proving to real world problems? Do you want to create products that help customers? If so, then we have an exciting opportunity for you. In this role, you will interact with internal teams and external customers to understand their requirements. You will apply your knowledge to propose innovative solutions, create software prototypes, and productize prototypes into production systems using software development tools and methodologies. In addition, you will support and scale your solutions to meet the ever growing demand of customer use. Technical Responsibilities: - Interact with various teams to develop an understanding of their security and safety requirements. - Apply the acquired knowledge to build tools find problems, or show the absence of security/safety problems. - Implement these tools through the use of SAT, SMT, and various concepts from programming languages, theorem proving, formal verification and constraint solving. - Perform analysis of the customer systems using tools developed in-house or externally provided - Create software prototypes to verify and validate the devised solutions methodologies; integrate the prototypes into production systems using standard software development tools and methodologies. Leadership Responsibilities: - Can present and defend company-wide technical decisions to the internal technical community and represent the company effectively at technical conferences. - Functional thought leader, sought after for key tech decisions. Can successfully sell ideas to an executive level decision maker. - Mentors and trains the research scientist community on complex technical issues. AWS has the most services and more features within those services, than any other cloud provider–from infrastructure technologies like compute, storage, and databases–to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things. Whether its Identity features such as access management and sign on, cryptography, console, builder & developer tools, and even projects like automating all of our contractual billing systems, AWS Platform is always innovating with the customer in mind. The AWS Platform team sustains over 750 million transactions per second. We have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, job level etc. Your manager can also help you find a mentor or two, because two is better than one. In addition to formal mentors, we work and train together so that we are always learning from one another, and we celebrate and support the career progression of our team members. Key job responsibilities Technical Responsibilities: - Interact with various teams to develop an understanding of their security and safety requirements. - Apply the acquired knowledge to build tools find problems, or show the absence of security/safety problems. - Implement these tools through the use of SAT, SMT, BDDs, and various concepts from programming languages, theorem proving, formal verification and constraint solving. - Perform analysis of the customer systems using tools developed in-house or externally provided - Create software prototypes to verify and validate the devised solutions methodologies; integrate the prototypes into production systems using standard software development tools and methodologies. Leadership Responsibilities: - Can present and defend company-wide technical decisions to the internal technical community and represent the company effectively at technical conferences. - Functional thought leader, sought after for key tech decisions. Can successfully sell ideas to an executive level decision maker. - Mentors and trains the research scientist community on complex technical issues. A day in the life You will be working on cutting edge technology related to formal methods, automated reasoning, automated testing, and adjacent areas. You will work with fellow applied scientists to solve challenging problems that provide value to customers by improving the quality of software. You will have an opportunity to publish your work. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. 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Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. About the team The Automated Reasoning in Identity (ARI) team is growing fast. It works on applying automated reasoning techniques to services within AWS's Identity organization, building on initial successes of the Zelkova and Access Analyzer projects. The reach of AR within Identity is growing, with more scientists joining all the time.
US, CA, Sunnyvale
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Member of Technical Staff with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems. Key job responsibilities As a Member of Technical Staff with the AGI team, you will support the development of algorithms and modeling techniques, to advance the state of the art with LLMs. You will support the foundational model development in an applied research role, including model training, dataset design, and pre- and post-training optimization. Your work will directly impact our customers in the form of products and services that make use of GenAI technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in LLMs. About the team The AGI team has a mission to push the envelope in GenAI with LLMs and multimodal systems, in order to provide the best-possible experience for our customers.
IN, HR, Gurugram
Work on 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 Applied Scientist II, 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, Seattle
Amazon Customer Service (CS) Data Intelligence builds the data and Artificial Intelligence (AI) foundations for CS to ensure Amazon delivers the best customer service possible. CS Economics sits within CS DI and contributes to the CS knowledge base and decision frameworks. CS Economics seeks economists to apply economic methods to solve business problems. The ideal candidate will work with engineers and applied scientists to design models that leverage large scale and unstructured data, design scalable agents for non-tech CS partners to understand the impact of their actions, and propose mechanism designs to robustly match customers to our services. CS Economics is looking for optimistic critical-thinkers who combine a strong technical economic toolbox with a desire to learn from other disciplines, and who know how to execute and deliver on big ideas as part of an interdisciplinary technical team. Ideal candidates enjoy working in a team setting with individuals from diverse disciplines and backgrounds. They will work with teammates to develop scientific models and conduct data analysis, modeling, and experimentation that is necessary for estimating and validating models. They will work closely with engineering teams to develop scalable data resources to support rapid insights, and take successful models and findings into production as new products and services. They will be customer-centric and will communicate scientific approaches and findings to business leaders, listening to and incorporate their feedback, and delivering successful scientific solutions. Key job responsibilities - Design and conduct rigorous evaluations of CS actions - Develop experiments to evaluate product launches - Communicate complex findings to business stakeholders in clear, actionable terms - Work with engineering teams to develop scalable tools that automate and streamline evaluation processes A day in the life Work with teammates to apply economic methods to business problems, e.g., identify the appropriate research question and identification strategy, write code to estimate heterogeneous treatment effects or conduct experiment analysis, write and present a document with findings to business leaders. We collaborate with partner teams within and outside of CS throughout the process, from understanding their challenges, to developing a research agenda that will address those challenges, to help them implement solutions. About the team Amazon Customer Service (CS) Economics provides estimates and measures of the causal impact of CS actions on costs and benefits. We build agents and guide leadership to establish processes to scale valid experimentation, causal inference, and mechanism design.
US, CA, Sunnyvale
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 add-on subscriptions such as Apple TV+, Max, 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 technologist, 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 Develop foundation models for content understanding using state-of-the-art deep learning and multimodal learning techniques to analyze video and text Build time sequence foundation models to understand and predict customer behavior patterns and viewing trajectories Work closely with engineers and product managers to design, implement and launch solutions end-to-end across various Prime Video experiences Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses Effectively communicate technical and non-technical ideas with teammates and stakeholders Stay up-to-date with advancements and the latest modeling techniques in foundation models, multimodal learning, and time series analysis Publish your research findings in top conferences and journals A day in the life We're using advanced approaches such as foundation models to connect information about our videos and customers from a variety of information sources, acquiring and processing data sets on a scale that only a few companies in the world can match. This will enable us to recommend titles effectively, even when we don't have a large behavioral signal (to tackle the cold-start title problem). It will also allow us to find our customer's niche interests, helping them discover groups of titles that they didn't even know existed. We are looking for creative & customer obsessed machine learning scientists who can apply the latest research, state of the art algorithms and ML to build highly scalable page personalization solutions. You'll be a research leader in the space and a hands-on ML practitioner, guiding and collaborating with talented teams of engineers and scientists and senior leaders in the Prime Video organization. You will also have the opportunity to publish your research at internal and external conferences. About the team Prime Video Recommendation Science team owns science solution to power recommendation and personalization experience on various Prime Video surfaces and devices. We work closely with the engineering teams to launch our solutions in production.
US, WA, Seattle
Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company’s Think Big leadership principle to the limits. If you’re interested in innovating at scale to address big challenges in the world, this is the team for you. As a Senior Applied Scientist on our team, you will focus on building state-of-the-art ML models for healthcare. Our team rewards curiosity while maintaining a laser-focus in bringing products to market. Competitive candidates are responsive, flexible, and able to succeed within an open, collaborative, entrepreneurial, startup-like environment. At the forefront of both academic and applied research in this product area, you have the opportunity to work together with a diverse and talented team of scientists, engineers, and product managers and collaborate with other teams. This role offers a unique opportunity to work on projects that could fundamentally transform healthcare outcomes. Key job responsibilities In this role, you will: • Design and implement novel AI/ML solutions for complex healthcare challenges • Drive advancements in machine learning and data science • Balance theoretical knowledge with practical implementation • Work closely with customers and partners to understand their requirements • Navigate ambiguity and create clarity in early-stage product development • Collaborate with cross-functional teams while fostering innovation in a collaborative work environment to deliver impactful solutions • Establish best practices for ML experimentation, evaluation, development and deployment • Partner with leadership to define roadmap and strategic initiatives You’ll need a strong background in AI/ML, proven leadership skills, and the ability to translate complex concepts into actionable plans. You’ll also need to effectively translate research findings into practical solutions. A day in the life You will solve real-world problems by getting and analyzing large amounts of data, generate insights and opportunities, design simulations and experiments, and develop statistical and ML models. The team is driven by business needs, which requires collaboration with other Scientists, Engineers, and Product Managers across the Special Projects organization. You will prepare written and verbal presentations to share insights to audiences of varying levels of technical sophistication. About the team We represent Amazon's ambitious vision to solve the world's most pressing challenges. We are exploring new approaches to enhance research practices in the healthcare space, leveraging Amazon's scale and technological expertise. We operate with the agility of a startup while backed by Amazon's resources and operational excellence. We're looking for builders who are excited about working on ambitious, undefined problems and are comfortable with ambiguity.
US, CA, Palo Alto
About Sponsored Products and Brands The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. About our team SPB Ad Response Prediction team is your choice, if you want to join a highly motivated, collaborative, and fun-loving team with a strong entrepreneurial spirit and bias for action. We are seeking an experienced and motivated Applied Scientist with machine learning engineering background who loves to innovate at the intersection of customer experience, deep learning, and high-scale machine learning systems. We are looking for a talented Applied Scientist with a strong background in machine learning engineering to join our team and help us grow the business. In this role, you will partner with a team of engineers and scientists to build advanced machine learning models and infrastructure, from training to inference, including emerging LLM-based systems, that deliver highly relevant ads to shoppers across all Amazon platforms and surfaces worldwide. Key job responsibilities As an Applied Scientist, you will: * Develop scalable and effective machine learning models and optimization strategies to solve business problems. * Conduct research on new machine learning modeling to optimize all aspects of Sponsored Products business. * Enhance the scalability, automation, and efficiency of large-scale training and real-time inference systems. * Pioneer the development of LLM inference infrastructure to support next-generation GenAI workloads at Amazon Ads scale.
US, CA, Sunnyvale
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. Amazon Music - Search Science team is seeking an experienced Applied Scientist who will join a team of experts in the field of machine learning, and work together to break new ground in the world of understanding and classifying different forms of music, and creating interactive experiences to help users find the music they are in the mood for. We work on machine learning problems for music classification, recommender systems, dialogue systems, NLP, and music information retrieval. You'll work in a collaborative environment where you can pursue applied research, with many peta-bytes of data, work on problems that haven’t been solved before, quickly implement and deploy your algorithmic ideas at scale, understand whether they succeed via statistically relevant experiments across millions of customers, and publish your research. You'll see the work you do directly improve the experience of Amazon Music customers on Alexa/Echo, mobile, and web. Key job responsibilities - Use machine learning, deep learning, LLMs and Agentic AI techniques to create scalable solutions for business problems - Analyze and extract relevant information from large amounts of Amazon's data to help automate and optimize key processes - Design, development and evaluation of AI models for predictive learning - Work closely with software engineering teams to drive model implementations and new feature creations - Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation - Research and implement novel machine learning and statistical approaches About the team Everyone on our team has a meaningful impact on product features, new directions in music streaming, and customer engagement. We are looking for new team members across a variety of job functions including software engineering/development, marketing, design, ops and more. Come join us as we make history by launching exciting new projects in the coming year.Our team is focused on building a personalized, curated, and seamless music experience. We want to help our customers discover up-and-coming artists, while also having access to their favorite established musicians. We build systems that are distributed on a large scale, spanning our music apps, web player, and voice-forward audio engagement on mobile and Amazon Echo devices, powered by Alexa to support our customer base. Amazon Music offerings are available in countries around the world, and our applications support our mission of delivering music to customers in new and exciting ways that enhance their day-to-day lives.
IN, KA, Bengaluru
Do you want to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon’s customers? Do you want to build and deploy advanced ML systems that help optimize millions of transactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real-world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Machine Learning team for India Consumer Businesses. Machine Learning, Big Data and related quantitative sciences have been strategic to Amazon from the early years. Amazon has been a pioneer in areas such as recommendation engines, ecommerce fraud detection and large-scale optimization of fulfillment center operations. As Amazon has rapidly grown and diversified, the opportunity for applying machine learning has exploded. We have a very broad collection of practical problems where machine learning systems can dramatically improve the customer experience, reduce cost, and drive speed and automation. These include product bundle recommendations for millions of products, safeguarding financial transactions across by building the risk models, improving catalog quality via extracting product attribute values from structured/unstructured data for millions of products, enhancing address quality by powering customer suggestions We are developing state-of-the-art machine learning solutions to accelerate the Amazon India growth story. Amazon India is an exciting place to be at for a machine learning practitioner. We have the eagerness of a fresh startup to absorb machine learning solutions, and the scale of a mature firm to help support their development at the same time. As part of the India Machine Learning team, you will get to work alongside brilliant minds motivated to solve real-world machine learning problems that make a difference to millions of our customers. We encourage thought leadership and blue ocean thinking in ML. Key job responsibilities Use machine learning and analytical techniques to create scalable solutions for business problems Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes Design, develop, evaluate and deploy, innovative and highly scalable ML models Work closely with software engineering teams to drive real-time model implementations Work closely with business partners to identify problems and propose machine learning solutions Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenance Work proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in production Leading projects and mentoring other scientists, engineers in the use of ML techniques About the team International Machine Learning Team is responsible for building novel ML solutions that attack India first (and other Emerging Markets across MENA and LatAm) problems and impact the bottom-line and top-line of India business. Learn more about our team from https://www.amazon.science/working-at-amazon/how-rajeev-rastogis-machine-learning-team-in-india-develops-innovations-for-customers-worldwide