TaskBot Challenge Rules

Please review the rules before taking part in the challenge.

The Alexa Prize TaskBot Challenge (the “Competition”) is a skill competition sponsored by Amazon.com Services LLC (“Sponsor”), in which competing teams of college or university students each build an Alexa skill using the Alexa Skills Kit APIs (“TaskBots”) for use in the United States that assists Alexa users in accomplishing tasks related to cooking and do-it-yourself (“DIY”) projects via Amazon Alexa.

Selected teams will have the opportunity to participate in the Competition, and final results will be announced in September 2023. See below for the Competition details.

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

COMPETITION CALENDAR

Applications to participate in the Competition can be submitted starting September 2022. After participating teams are selected, the Competition will run from January 2023 through September 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 ON:

ENDS ON:

PHASE 1: Participant Application Period

September 22, 2022

November 4, 2022

PHASE 2: Sponsor Application Review Period

November 7, 2022

November 18, 2022

PHASE 3: Participant Notification Period and Onboarding

November 21, 2022

January 6, 2023

BOOT CAMP

January 11, 2023

January 13, 2023

PHASE 4: Initial Skills Development Period

January 9, 2023

March 10, 2023

PHASE 5: Skill Certification Period

March 13, 2023

March 24, 2023

PHASE 6: Internal Amazon Beta Period

March 28, 2023

April 28, 2023

PHASE 7: Initial Feedback Period

May 2, 2023

June 9, 2023

PHASE 8: Semifinals Interaction Period

June 13, 2023

July 28, 2023

PHASE 9: Additional Feedback Period

August 8, 2023

September 1, 2023

PHASE 10: Finals Event

September 11, 2023

September 14, 2023

WINNERS ANNOUNCED

September 2023

TASKBOT CHALLENGE 2 OVERVIEW

The Alexa Prize TaskBot Challenge 2 invites university teams to compete to develop agents that assist customers in completing Cooking and DIY tasks by incorporating multimodal (voice and screen) conversational interface with an AI agent. The challenge incorporates screen-based interaction into the conversational experience, so in addition to receiving verbal instructions, customers with Echo screen devices could also be presented with step-by-step instructions, images, or diagrams that enhance task guidance. Success in the challenge will require participants to advance the state of the art in conversational AI, and address difficult science challenges related to knowledge representation and inference, commonsense and causal reasoning, and language understanding and generation, and integrating voice-based and screen-based interaction, requiring synthesis of multiple areas and approaches to conversational AI.

ELIGIBILITY

To be eligible to participate in the Competition, you must: (1) be enrolled as a full-time undergraduate or post-graduate student in good standing at an accredited college or university (other than colleges or universities located in any of the Restricted Jurisdictions outlined below) (“Universities”) at the time of entry and during the entire course of your participation 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 Jurisdictions”). People who, during the Competition Period, are directors, officers, employees, interns, or contractors (“Personnel”) of Sponsor, its parents, subsidiaries, affiliates, or their respective advertising, promotion and public relations agencies, representatives, or agents (collectively, “Competition Entities”), immediate families members of such Personnel (parents, siblings, children, spouses, and life partners of each) or 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, disqualify ineligible participants, and 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 must be part of only one Entrant Team. Any Entrant that is part of more than one Entrant Team, and any corresponding Entrant Team, 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, who maintain eligibility (including full-time student status in good standing at their University) during the entire course of their participation in the Competition, and who continue to participate in the Competition until any one of the following events occurs: (1) until the end of the Competition Period, (2) if they graduate in May 2023 or later, until their graduation from their University, or (3) if they accept an internship for the summer of 2023 that renders them ineligible to continue to participate, until the start of that internship.

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; no Faculty Advisor may represent more than one team. 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 the end of the Initial Feedback Period, 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 any 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 Period 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 TaskBot, 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 an Entrant Team’s University may provide support and advice to the Entrant Team and may co-author the Technical Article (as defined below) or other research papers.

ADDITIONAL REQUIREMENTS

As part of the Competition, Entrant Teams must submit their TaskBots via Sponsor’s Developer Portal, and in doing so must agree to the Amazon Developer Services Agreement (“Developer Agreement”). TaskBots 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). TaskBots 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 TaskBot. All TaskBots must interact with users using only the English language. TaskBots may not request any personal data or personally identifiable information from Alexa users. All Entrant Teams must host their TaskBots 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 TaskBot, and TaskBots may make external calls to other services during run-time execution, so long as no confidential information of Sponsor and no Alexa user interaction data is shared with any third party.

TaskBots are responsible for verifying that the requested tasks are within the supported domains (“Supported Tasks”). TaskBots must decline tasks that could cause harm to users or their property and stop the interaction after requests for any such tasks. Sponsor may audit TaskBots for compliance with this requirement. If a task is accepted as a Supported Task, a TaskBot should interactively assist the user to complete the task, potentially across multiple sessions, and help the user to resume a paused task as needed.

During all phases of the Competition, Sponsor may in its sole discretion require Entrant Teams to provide periodic status updates, reports, or demonstrations of the TaskBots. Sponsor may also require 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, including by disqualification from the Competition.

Sponsor may in its sole discretion require all TaskBots to adhere to requirements designed to ensure that TaskBots are focused on the goal of advancing the science of conversational artificial intelligence, and to ensure a positive experience for Alexa customers using the TaskBot. Sponsor may determine any appropriate penalties for noncompliance with those requirements, including temporary suspension of the TaskBot, 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, the Entrant 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”). Each Entrant Team whose TaskBots are made available through the Alexa service will receive automatic speech recognition text transcriptions and other data (e.g., confidence scores) relating to Alexa user interactions with the Entrant Team’s TaskBot (“Interaction Data”).

Each Entrant and Faculty Advisor agrees that they will not disclose, distribute, or otherwise make available any Non-Public Materials or Interaction Data to anyone other than other Entrants of their Entrant Team and the Entrant Team’s Faculty Advisor. Each Entrant (and each Faculty Advisor) agrees that they will use Non-Public Materials and Interaction Data only in connection with the development and operation of (a) a TaskBot as part of the Competition and in compliance with these Official Rules and (b) following the completion of the Competition Period, a TaskBot 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 TaskBot as a stand-alone Alexa Skill or use the Non-Public Materials or Interaction Data to operate the TaskBot 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 TaskBot. 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.

DESCRIPTION OF COMPETITION PHASES

PHASE 1 “Participant Application Period”: Before the end of the Participant Application Period, the leader of each Entrant Team that wishes to enter the Competition may visit https://www.amazon.science/alexa-prize (the “Competition Site”) to 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 a bio for each Entrant Team member.

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

  1. What is your team’s vision for your TaskBot? How would your TaskBot help customers accomplish their tasks?
  2. How will your team measure success in the Competition?
  3. Please share sample interactions you expect your TaskBot to achieve by the end of the Competition for each of the Competition’s two domains (Cooking and DIY).
  4. Describe, in detail, your scientific approach along with the related system architecture. 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).
  5. What is novel about the team’s approach? (This may be completely new approach or novel synthesis or extension of existing techniques).
  6. What are the top three technical challenges/risks in your approach and how do you plan to address them?
  7. How do you think your work will impact the field of AI?
  8. How will your TaskBot leverage multimodal interaction (e.g. speech combined with graphical output) in order to provide an engaging and effective experience for the customer?
  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.

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 the last day of the Participant Application Period. 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. Once submitted, Entry Applications will not be returned and become the property of the Sponsor.

Entry Terms: Determination of eligibility and compliance with these Official Rules and any other requirements imposed by Sponsor will be in the sole discretion of the Sponsor. By entering, Entrants represent that all information and materials submitted to Sponsor in connection with the Competition:

  1. are the original work of the Entrant Team or an update to an original work of the Entrant Team;
  2. 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. 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.

PHASE 2 “Sponsor Application Review Period”: All eligible Entry Applications will be reviewed by the Sponsor. Sponsor will select up to ten Entrant Teams to participate in the Competition in its sole discretion, including based on the following criteria:

  • The potential scientific contribution to the field;
  • The technical merit of the approach;
  • The novelty of the idea, including innovative ideas on improving the presentation and coordinating visual and verbal modalities; and
  • An assessment of the Entrant Team’s ability to execute against their plan.

PHASE 3 “Participant Notification Period”: Entrant Teams selected by Sponsor to participate in the Competition will be notified by email at the email address provided at time of Entry Application. Entrant Teams acknowledge that some Entrant Teams may include Entrants and Faculty Advisors who participated in prior iterations of the Alexa Prize competition.

Stipends: Each Entrant Team selected to participate in the Initial Skills Development Period will be eligible to receive a restricted research grant 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 Competition), which will be paid to the Universities of the selected Entrant Teams in the form of restricted research grants. These grants 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 agreements or other 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 agreements and other documentation have been completed by the University. The grants are intended 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 managing the funds, including their allocation or distribution by the University, after they are paid to the University. 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 TaskBot (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 designated 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 relating to the stipend not specified herein shall be determined solely by Sponsor.

BOOT CAMP: Entrant Teams may be invited to a Boot Camp at Sponsor’s headquarters in Seattle, Washington, or another location determined by Sponsor. Any travel expense subsidies provided by Sponsor 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 elect to hold the Boot Camp virtually, in which case Entrant Teams will not receive any travel expense subsidies.

PHASE 4 “Initial Skills Development Period”: Entrant Teams will develop their TaskBots. If an Entrant Team includes any Entrants or a Faculty Advisor from a team that participated in a prior Alexa Prize competition (a “Prior Year Team”), the Entrant Team may utilize and incorporate any concepts, works, inventions, information, designs, programs, or software created by the pertinent Prior Year Team, provided that the Entrant Team has obtained in writing all necessary rights, licenses, and permissions to do so, including all rights, licenses, and permissions that are necessary to distribute the TaskBot 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 TaskBot to Sponsor for certification no later than 11:59 pm Pacific Time on the last day of the Initial Skills Development Period.

PHASE 5 “Skill Certification Period”: Entrant Teams must revise their TaskBots in response to feedback from Sponsor to ensure that their skills are certified prior to being made available to users of the Alexa service. TaskBots must pass certification in order to be eligible to participate in a closed beta program to employees of Sponsor (the “Beta Program”).

PHASE 6 “Internal Amazon Beta Period”: TaskBots that have passed certification will be made available to employees of Sponsor via the Beta Program. Each TaskBot’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 TaskBots throughout the Internal Amazon Beta Period. Sponsor may impose criteria, including but not limited to a minimum mean Interaction Rating, uptime requirements, and ability to filter offensive content (the “Availability Criteria”), that a TaskBot must meet in order to exit the Beta Program and be made available to users of the Alexa service through an Alexa Skill that allows users to interact with TaskBots (the “Alexa Prize Skill”).

PHASE 7 “Initial Feedback Period”: TaskBots that have passed certification and met all Availability Criteria will be made available to Alexa users through the Alexa Prize Skill, as described below. Sponsor may require TaskBots that have not met the Availability Criteria to remain in the Beta Program, and may set deadlines by which all TaskBots must meet the Availability Criteria in order to continue participating in the Competition. Additionally, Sponsor may condition a TaskBot’s inclusion in the Alexa Prize Skill and availability to Alexa users on that TaskBot continuing to meet the Availability Criteria. Each TaskBot’s Interaction Ratings (as defined below) collected during the Initial Feedback Period will be provided to the Entrant Team. Entrant Teams may continue to improve their TaskBots throughout the Initial Feedback Period. Sponsor may impose criteria, including, but not limited to, a minimum mean Interaction Rating, uptime requirements, and ability to filter offensive content (the “Semifinals Criteria”), that a TaskBot must meet in order to exit the Initial Feedback Period.

The Alexa Prize Skill; Interaction Ratings: During the Internal Amazon Beta Period, the Initial Feedback Period, the Semifinals Interaction Period, and the Additional Feedback Period, Sponsor may allow Alexa users to invoke the Alexa Prize Skill by saying a specific invocation phrase, such as “Alexa, let’s work together.” In response, Alexa may direct the user to an Entrant Team’s TaskBot to interact with the user (without identifying to the user which Entrant Team’s TaskBot has been selected). After confirming that the requested task is a Supported Task, the TaskBot will either attempt to assist the user or decline the request. The user may converse with the TaskBot until the user ends the interaction.

At the end of the interaction, the user will be asked to rate the TaskBot on a scale of 1 to 5 based on the user’s satisfaction with the assistance provided by the TaskBot (the “Interaction Ratings”). After a user provides an Interaction Rating, the Alexa Prize Skill may allow the TaskBot to send to the user a summary or additional information if helpful to accomplish the task. Sponsor may determine in its sole discretion when and how frequently each TaskBot is made available to users and the method by which users invoke the Alexa Prize Skill. All TaskBots may not be selected to interact with users the same number of times. When calculating Interaction Ratings for any TaskBot and for any purpose, Sponsor may elect to disregard Interaction Ratings from Alexa users for the purpose of selecting a finalist TaskBot if (a) the number of Interaction Ratings for a TaskBot 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 customer account, (c) Sponsor determines in its sole discretion that 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 TaskBot 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 their 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 means, as determined by Sponsor in its sole discretion, may result in disqualification.

PHASE 8 “Semifinals Interaction Period”: TaskBots that have met all Semifinals Criteria will be made available to Alexa users, who will interact with and rate eligible Semifinalist TaskBots through the Alexa Prize Skill. Entrant Teams may continue to improve their TaskBots throughout the Semifinals Interaction Period. Each Semifinalist TaskBot’s Interaction Ratings collected during the Semifinals Interaction Period may be provided to that Semifinalist TaskBot’s Entrant Team, as determined by Sponsor in its sole discretion. The average of the Interaction Ratings collected for a TaskBot during the Semifinals Interaction Period is the “Semifinals Interaction Rating Average.” At the conclusion of the Semifinals Interaction Period, the two Semifinalist TaskBots with the highest Semifinals Interaction Rating Average (with any ties broken by task completion rate as answered affirmatively by the customer) and up to three TaskBots (including TaskBots not selected as Semifinalist TaskBots) selected by Sponsor in its sole discretion based on Sponsor’s evaluation of their helpfulness, accuracy, usability, and scientific merit will proceed to the Additional Feedback Period and Finals Event as described below.

Leaders of finalist Entrant Teams will be notified of their preliminary selection to proceed to the Additional Feedback Period by email at the email address provided at time of Entry Application. All Entrants on potential finalist Entrant Teams will be required to complete and return an Affidavit of Eligibility and Publicity/Liability Release (where legal) and an Entrant Release Form and Affirmation that, among other things, affirms each Entrant’s agreement to these Official Rules, and may be subject to a Background Check Authorization Form and/or any other vetting process within the timeframe stated on the notification attempt or a runner-up potential finalist Entrant Team may be contacted, time permitting. Each finalist Entrant Team must also agree to maintain the TaskBot 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 email notification is returned as undeliverable, if a potential finalist Entrant Team does not respond within the required number of days specified by Sponsor, or if information collected within the clearance documentation, entry, or background check is found in non-compliance with these Official Rules or raises other issues of significant concern to Sponsor, or if a potential finalist Entrant Team or Entrant declines to proceed for any reason whatsoever, Sponsor shall have no further obligation to such potential finalist Entrant Team and a runner-up finalist Entrant Team selected by Sponsor in its sole discretion may be invited to participate in the finals, time permitting.

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 the last date of the Semifinals Interaction Period, 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.

Technical Publication: By no later than the last date of the Semifinals Interaction Period, all participating Entrant Teams must submit a technical article including (a) the technical approach for their TaskBot, 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”), although Entrant Teams must obtain Sponsor’s written approval to submit Additional Articles for publication prior to Sponsor’s publication of the Technical Articles. 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 publication, any changes or deletions requested by Sponsor to protect confidential or other sensitive information.

PHASE 9 “Additional Feedback Period”: The finalist TaskBots will be made available to Alexa users through the Alexa Prize Skill. Each finalist TaskBot’s Interaction Ratings collected during the Additional Feedback Period will be provided to that TaskBot’s Entrant Team. Entrant Teams may continue to develop their TaskBots throughout the Additional Feedback Period.

PHASE 10 “Finals Event”: Sponsor will hold a Finals Event that will be structured as follows: Sponsor will identify individuals who will engage with the TaskBots to complete tasks (the “Interactors”), and individuals that will judge the interactions between the TaskBots and Interactors (the “Judges”). The Interactors will request assistance from each of the finalist TaskBots. The Interactors will attempt to complete each Task assisted by each of the TaskBots. All or a portion of the Finals Event may be disseminated via Twitch.tv or other streaming, broadcast, or distribution services in Sponsor’s sole discretion, and Sponsor may in its sole discretion elect to permit live audience members and/or people viewing the broadcast to judge the interactions between the TaskBots and the Interactors (the “Audience Judges”).

Finalist Travel Expenses: Sponsor may elect to invite each finalist Entrant Team to the site of the Finals Event or an event announcing the winners of the Competition. Any travel expense subsidies provided by Sponsor may be subject to tax information reporting and withholding to the extent required by law.

Finals Judging Criteria: Each of the finalist TaskBots will interact with the same number of Interactors. While the interactions are taking place, Sponsor will not disclose to the Judges or to the Audience Judges (if applicable) which TaskBot an Interactor is interacting with. At the Finals Event, TaskBots must comply with all technical and operational requirements imposed by Sponsor.

Sponsor will communicate to the finalist Entrant Teams how tasks requests between the Interactors and the TaskBots will be initiated, the scope of these interactions, and how and when the interactions will be stopped. After the interaction has ended, each Judge will be asked to give the TaskBot one or more ratings on a scale of 1 to 5 based on factors such as helpfulness, accuracy, usability and overall task success (the “Finals Ratings”). If Sponsor elects to use Audience Judges, after the interaction has ended each Audience Judge will be asked to give the TaskBots one or more ratings on a scale of 1 to 5 based on the same factors (the “Audience Finals Ratings”).

Finals Scoring: Sponsor may in its sole discretion elect to use the Semifinals Interaction Rating Average as a component of the scoring in the Finals Event, and will communicate such election to the Entrant Teams. The composite score for each TaskBot will be determined based on the mean Finals Rating given by the Judges across the interactions with all Interactors, and, if applicable, the Semifinals Interaction Rating Average and the mean Audience Finals Ratings given by the Audience Judges across the interactions with all Interactors (the “Composite Score”). In the calculation of the Composite Score, if Sponsor elects to use the Semifinals Interaction Rating Average, it will be given the weight equivalent to the Finals Rating given by a single Judge; and if Sponsor elects to use Audience Judges, the mean Audience Finals Ratings will be given the same weight as the Finals Rating given by a single Judge. Sponsor may disregard a round of Finals Ratings or Audience Finals Ratings if Sponsor determines in its sole discretion that a technical or procedural irregularity has rendered such ratings inherently unfair.

PRIZES

Overall Performance Prize

The Entrant Teams whose TaskBots attain the three highest Composite Scores will be the winners of the following Overall Performance Prizes. If there is a tie in Composite Score, Sponsor will ask the Judges to break the tie by ranking the TaskBots according to observed helpfulness during the Finals event. Sponsor’s decisions are final and binding in all matters relating to this Competition, including the determination of prize winners.

First-Place Overall Performance Prize (1): The Entrant Team that receives the highest Composite Score will receive $500,000 U.S. dollars awarded in the form of checks divided equally among all members of that Entrant Team.

Second-Place Overall Performance 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 members of that Entrant Team.

Third-Place Overall Performance 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 members of that Entrant Team.

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, 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 any Entrant Team evenly among the 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 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) 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 authorize the transfer of personal data to the United States for purposes of administering the Competition, conducting publicity about the Competition, and 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.

INTELLECTUAL PROPERTY

By entering the Competition, each Entrant and 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 TaskBot or that are otherwise necessary for the Entrant Team to distribute the TaskBot and to grant the licenses set forth in these Official Rules and in the Developer Agreement. Entrants MAY NOT submit TaskBots created by any person other than themselves or their Entrant Team members.

As between Sponsor and Entrant Teams, all TaskBots created by Entrant Teams will remain the property of the respective Entrant Teams (excluding any Program Materials incorporated in the TaskBot). However, Sponsor and its designees will have rights to the TaskBots as described below. By submitting a TaskBot in this Competition, each Entrant and Entrant Team represents and warrants that they own, or otherwise have the right to use and license, all of the intellectual property and other rights in and to the TaskBot. Each Entrant and Entrant Team 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, software, or other materials that the Entrant or Entrant Team develops or submits in connection with the Competition or the creation of the TaskBot, 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 Entrants and Entrant Teams must provide Sponsor all source code and algorithms developed in connection with the Competition. Each Entrant agrees to do or perform, or cause to be done and performed, all such further acts and things, and 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 Entrant and Entrant Team further consents (and agrees to sign any additional documents required by Sponsor to formalize, effect, or perfect such consent) to Competition Entities’ use of their TaskBots pursuant to these Official Rules and the use of any Entrant or Entrant Team 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 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 SPONSOR, WARRANTS THAT THE ENTRANT IS ELIGIBLE TO PARTICIPATE IN THIS COMPETITION, AND AGREES TO RELEASE, INDEMNIFY, AND HOLD HARMLESS THE 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 ARISING OUT OF ENTRANT’S PARTICIPATION IN THIS COMPETITION OR ANY TRAVEL OR OTHER ACTIVITY RELATED THERETO, USE OF ANY TASKBOT 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 MAY BE 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 PERSONS 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 TaskBots, 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 TaskBot 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 and Entrant Teams may have created ideas and concepts contained in their TaskBot design that may have familiarities or similarities to their TaskBot 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, TaskBots 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 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 determine whether to award prizes in its sole discretion. Sponsor reserves the right, in its sole discretion, to disqualify any individual found by Sponsor to have tampered with the entry process or entry materials, otherwise interfered with the proper administration of the Competition, or violated 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; (3) the Competition Entities shall not be liable for, 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. You irrevocably submit to venue and exclusive personal jurisdiction in the federal and state courts in Seattle, King County, Washington, USA, for any dispute arising under these Official Rules or in connection with the Competition, and you waive all objections to jurisdiction and venue of such courts.

SPONSOR

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

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US, MA, N.reading
Amazon Industrial Robotics 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 revolutionary robotic systems that combine cutting-edge AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique 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 dexterous manipulation, locomotion, and human-robot interaction. This role presents an opportunity to shape the future of robotics through innovative applications of deep learning and large language models. At Amazon Industrial Robotics we leverage advanced robotics, machine learning, and artificial intelligence to solve complex operational challenges at an unprecedented scale. Our fleet of robots operates across hundreds of facilities worldwide, working in sophisticated coordination to fulfill our mission of customer excellence. 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 Design and deploy end-to-end teleoperation pipelines integrating VR/AR headsets and haptics interfaces with robotic hardware Implement force-feedback and tactile sensing algorithms to provide operators with a "sense of touch," improving performance in contact-rich manipulation tasks Collaborate with ML teams to ensure teleoperation interfaces capture high-fidelity state-action pairs, including proprioception, visual, and force/torque data for model training Develop custom networking and streaming protocols to minimize operator-to-robot latency. Conduct user studies to evaluate ergonomics, cognitive load, and "telepresence" effectiveness to iterate on UI/UX designs.
US, TX, Austin
Amazon Security is looking for a talented and driven Applied Scientist II to spearhead Generative AI acceleration within the Secure Third Party Tools (S3T) organization. The S3T team has bold ambitions to re-imagine security products that serve Amazon's pace of innovation at our global scale. This role will focus on leveraging large language models and agentic AI to transform third-party security risk management, automate complex vendor assessments, streamline controllership processes, and dramatically reduce assessment cycle times. You will drive builder efficiency and deliver bar-raising security engagements across Amazon. Key job responsibilities Lead the research, design, and development of GenAI-powered solutions to enhance the security and governance of third-party tools across Amazon Develop and fine-tune large language models (LLMs) and other ML models tailored to security use cases, including risk detection, anomaly identification, and automated compliance Collaborate with cross-functional teams — including Security Engineers, Software Development Engineers, and Product Managers — to translate scientific innovations into scalable, production-ready systems Define and drive the GenAI roadmap for the S3T organization, influencing strategy and prioritization Conduct rigorous experimentation, evaluate model performance, and iterate rapidly to deliver measurable impact Stay current with the latest advancements in GenAI and applied ML research, and bring relevant innovations into Amazon's security ecosystem Mentor junior scientists and contribute to a culture of scientific excellence within the team About the team Security is central to maintaining customer trust and delivering delightful customer experiences. At Amazon, our Security organization is designed to drive bar-raising security engagements. Our vision is that Builders raise the Amazon security bar when they use our recommended tools and processes, with no overhead to their business. Diverse Experiences Amazon Security 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 Security? At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security 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 Security, 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 security 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.
GB, London
We are looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to help build industry-leading language technology powering Rufus, our AI-driven search and shopping assistant, helping customers with their shopping tasks at every step of their shopping journey. This innovative role focuses on developing and optimizing large language model (LLM)-powered conversational experiences. The core emphasis is to get the best performance out of state-of-the-art LLMs via careful and methodical instruction design, contextual grounding, informed choices of MCP tools and agent/multi-agent systems, evaluation frameworks, and experimentation to systematically improve LLM quality, robustness, and customer impact. The work combines scientific rigor with product intuition to systematically raise the bar for conversational AI performance at Amazon scale. Our mission in conversational shopping is to make it easy for customers to find and discover the best products to meet their needs by helping with their product research, providing comparisons and recommendations, answering product questions, enabling shopping directly from images or videos, providing visual inspiration, and more. We do this by leveraging advanced analytics, Natural Language Processing (NLP), Machine Learning (ML), A/B testing, causal inference, and data-driven insights to continuously improve our systems. Key job responsibilities As a Data Scientist on our team, you will develop and maintain LLM instructions iterations and evaluation frameworks, including automated eval pipelines, LLM-as-a-judge methodologies, rubric design, and dataset curation to measure nuanced aspects of response quality. You will partner with the wider org to experiment with techniques such as retrieval augmentation, context enrichment, prompt decomposition, and model fine-tuning or post-training strategies, if and when applicable. You will leverage petabytes of data and identify opportunities to leverage machine learning models aimed at making conversational systems more performant. A day in the life You will: Perform hands-on analysis of large-scale multimodal interaction datasets to develop insights into how customers engage with conversational AI systems and how to improve response quality and customer experience. Use statistical methods, experimentation, and data-driven analysis to develop scalable approaches for measuring, evaluating, and optimizing large language model (LLM)-based shopping assistant systems, leveraging structured and unstructured contextual signals. Design and analyze A/B tests and experiments to evaluate new features and model improvements, ensuring statistical rigor and actionable insights. Develop metrics, dashboards, and reporting frameworks to monitor system performance, customer engagement, and business impact. Conduct deep-dive analyses to identify opportunities for improving conversational relevance, grounding, customer satisfaction, and downstream business impact. Collaborate with Applied Scientists and Engineers to translate analytical insights into production systems, working closely on model evaluation and deployment. Establish automated processes for large-scale data analysis, ETL pipelines, metric generation, and experimentation frameworks. Communicate results and insights to both technical and non-technical audiences, including through presentations, written reports, and data visualizations. About the team The Rufus Features Science team, based in London, works alongside ~150 engineers, designers and product managers, shaping the future of AI-driven shopping experiences at Amazon. The team works on every aspect of the Rufus AI, from making Rufus agentic, enabling customers to set price alerts or empower Rufus to act on their behalf and automatically purchase products when the price is right, to understanding multimodal user queries and generating answers that combine text, image, audio and video, including deep research reports that scour the web and the Amazon catalog to provide detailed and personalised shopping guidance. We utilize and advance state-of-art techniques in the fields of Natural Language Processing, gen AI, Information Retrieval, Machine/Deep Learning, and Data Mining. We validate our work by actively participating in the internal and external scientific communities.
US, NY, New York
The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through state-of-the-art 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. The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon—such as product detail pages, the homepage, and store-in-store pages—to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Amazon Stores stakeholders to lead the expansion and growth of advertising across Amazon-owned and -operated pages beyond Search. We operate full stack—from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences—all designed to deliver meaningful value. Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we’re helping businesses grow on Amazon.com and beyond! Key job responsibilities This role will be pivotal in redesigning how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront. Key responsibilities include, but are not limited to: - Contribute to the design and development of GenAI, deep learning, multi-objective optimization and/or reinforcement learning empowered solutions to transform ad retrieval, auctions, whole-page relevance, and/or bespoke shopping experiences. - Collaborate cross-functionally with other scientists, engineers, and product managers to bring scalable, production-ready science solutions to life. - Stay abreast of industry trends in GenAI, LLMs, and related disciplines, bringing fresh and innovative concepts, ideas, and prototypes to the organization. - Contribute to the enhancement of team’s scientific and technical rigor by identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling. - Mentor and grow junior scientists and engineers, cultivating a high-performing, collaborative, and intellectually curious team. A day in the life As an Applied Scientist on the Sponsored Products and Brands Off-Search team, you will contribute to the development in Generative AI (GenAI) and Large Language Models (LLMs) to revolutionize our advertising flow, backend optimization, and frontend shopping experiences. This is a rare opportunity to redefine how ads are retrieved, allocated, and/or experienced—elevating them into personalized, contextually aware, and inspiring components of the customer journey. You will have the opportunity to fundamentally transform areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations through the lens of GenAI. By building novel generative models grounded in both Amazon’s rich data and the world’s collective knowledge, your work will shape how customers engage with ads, discover products, and make purchasing decisions. If you are passionate about applying frontier AI to real-world problems with massive scale and impact, this is your opportunity to define the next chapter of advertising science. About the team The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon—such as product detail pages, the homepage, and store-in-store pages—to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Amazon Stores stakeholders to lead the expansion and growth of advertising across Amazon-owned and -operated pages beyond Search. We operate full stack—from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences—all designed to deliver meaningful value. Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we’re helping businesses grow on Amazon.com and beyond!
CN, 44, Shenzhen
职位:Applied scientist 应用科学家实习生 毕业时间:2026年10月 - 2027年7月之间毕业的应届毕业生 · 入职日期:2026年6月及之前 · 实习时间:保证一周实习4-5天全职实习,至少持续3个月 · 工作地点:深圳福田区 投递须知: 1 填写简历申请时,请把必填和非必填项都填写完整。提交简历之后就无法修改了哦! 2 学校的英文全称请准确填写。中英文对应表请查这里(无法浏览请登录后浏览)https://docs.qq.com/sheet/DVmdaa1BCV0RBbnlR?tab=BB08J2 关于职位 Amazon Device &Services Asia团队正在寻找一位充满好奇心、善于沟通的应用科学家实习生,成为连接前沿AI研究与现实世界认知的桥梁。这是一个独特的角色——既需要动手参与机器学习项目,又要接受将复杂AI概念转化为通俗易懂内容的创意挑战。D&S Asia是亚马逊设备与服务业务在亚洲的支柱组织,自2009年支持Kindle制造起步,现已发展为横跨软硬件、AI(Alexa)及智能家居(Ring/Blink)的综合性团队,持续驱动区域业务创新与人才发展。 你将做什么 • 解密AI: 将复杂的技术发现转化为直观的解释、博客文章、教程或互动演示,让非技术背景的业务方和更广泛的社区都能理解 • 技术叙事: 与工程团队协作,以清晰、引人入胜的方式记录AI的能力与局限性 • 知识共享: 协助开发内部工作坊或"AI入门"课程,提升跨职能团队(产品、设计、商务)的AI素养 • 保持前沿: 持续学习并整合最新突破(如大语言模型、扩散模型、智能体),为团队输出简明易懂的趋势简报 • 研究与应用: 参与端到端的应用研究项目,从文献综述到原型开发,涵盖自然语言处理、计算机视觉或多模态AI领域
US, MA, N.reading
Amazon Industrial Robotics Group 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 revolutionary robotic systems that combine cutting-edge AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique 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 dexterous manipulation, locomotion, and human-robot interaction. This role presents an opportunity to shape the future of robotics through innovative applications of deep learning and large language models. At Amazon Industrial Robotics Group, we leverage advanced robotics, machine learning, and artificial intelligence to solve complex operational challenges at an 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 dexterous manipulation system that: - Enables unprecedented generalization across diverse tasks - Enables contact-rich manipulation in different environments - Seamlessly integrates low-level skills and high-level behaviors - Leverage mechanical intelligence, multi-modal sensor feedback and advanced control techniques. 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. A day in the life - Lead design and implementation of methods for Visual SLAM, navigation and spatial reasoning - Leverage simulation and real-world data collection to create large datasets for model development - Develop a hierarchical system that combines low-level control with high-level planning - Collaborate effectively with multi-disciplinary teams to co-design hardware and algorithms for dexterous manipulation
US, WA, Seattle
Amazon Prime is looking for an ambitious Economist Intern to help create econometric insights for world-wide Prime. Prime is Amazon's premiere membership program, with over 200M members world-wide. This role is at the center of many major company decisions that impact Amazon's customers. These decisions span a variety of industries, each reflecting the diversity of Prime benefits. These range from fast-free e-commerce shipping, digital content (e.g., exclusive streaming video, music, gaming, photos), reading, healthcare, and grocery offerings. Prime Science creates insights that power these decisions. As an economist intern in this role, you will create statistical tools that embed causal interpretations. You will utilize massive data, state-of-the-art scientific computing, econometrics (causal, counterfactual/structural, experimentation), and machine-learning, to do so. Some of the science you create will be publishable in internal or external scientific journals and conferences. You will work closely with a team of economists, applied scientists, data professionals (business analysts, business intelligence engineers), product managers, and software/data engineers. You will create insights from descriptive statistics, as well as from novel statistical and econometric models. You will create internal-to-Amazon-facing automated scientific data products to power company decisions. You will write strategic documents explaining how senior company leaders should utilize these insights to create sustainable value for customers. These leaders will often include the senior-most leaders at Amazon. The team is unique in its exposure to company-wide strategies as well as senior leadership. It operates at the research frontier of utilizing data, econometrics, artificial intelligence, and machine-learning to form business strategies. A successful candidate will have demonstrated a capacity for building, estimating, and defending statistical models (e.g., causal, counterfactual, machine-learning) using software such as R, Python, or STATA. They will have a willingness to learn and apply a broad set of statistical and computational techniques to supplement deep training in one area of econometrics. For example, many applications on the team motivate the use of structural econometrics and machine-learning. They rely on building scalable production software, which involves a broad set of world-class software-building skills often learned on-the-job. As a consequence, already-obtained knowledge of SQL, machine learning, and large-scale scientific computing using distributed computing infrastructures such as Spark-Scala or PySpark would be a plus. Additionally, this candidate will show a track-record of delivering projects well and on-time, preferably in collaboration with other team members (e.g. co-authors). Candidates must have very strong writing and emotional intelligence skills (for collaborative teamwork, often with colleagues in different functional roles), a growth mindset, and a capacity for dealing with a high-level of ambiguity. Endowed with these traits and on-the-job-growth, the role will provide the opportunity to have a large strategic, world-wide impact on the customer experiences of Prime members.
US, WA, Bellevue
The Mission Build AI safety systems that protect millions of Alexa customers every day. As conversational AI evolves, you'll solve challenging problems in Responsible AI by ensuring LLMs provide safe, trustworthy responses, building AI systems that understand nuanced human values across cultures, and maintaining customer trust at scale. What You'll Build You'll pioneer breakthrough solutions in Responsible AI at Amazon's scale. Imagine training models that set new safety standards, designing automated testing systems that hunt for vulnerabilities before they surface, and certifying the systems that power millions of daily conversations. You'll create intelligent evaluation systems that judge responses with human-level insight, build models that truly understand what makes interactions safe and delightful, and craft feedback mechanisms that help Alexa+ grasp the nuances of complex customer conversations. Here's where it gets even more exciting: you'll build AI agents that act as your team's safety net—automatically detecting and fixing production issues in real-time, often before anyone notices there was a problem. Your innovations won't just improve Alexa+; they'll fundamentally shape how it learns, evolves, and earns customer trust. As Alexa+ continues to delight customers, your work ensures it becomes more trustworthy, safer, and deeply aligned with customer needs and expectations. Your work directly protects customer trust at Amazon's scale. Every innovation you create—from novel safety mechanisms to sophisticated evaluation techniques—shapes how millions of people interact with AI confidently. You're not just building products; you're defining industry standards for responsible AI. This is frontier research with immediate real-world impact. You'll tackle problems that require innovative solutions: training models that remain truthful and grounded across diverse contexts, building reward models that capture the nuanced spectrum of human values across cultures and languages, and creating automated systems that continuously discover and address potential issues before customers encounter them. You'll collaborate with world-class scientists, product managers, and engineers to transform state-of-the-art ideas into production systems serving millions. What We're Looking For * Deep expertise in state-of-the-art NLP and Large Language Models * Track record of building scalable ML systems * Passion for impactful research—where frontier science meets real-world responsibility at scale * Excitement about solving problems that will shape the future of AI Ready to work on AI safety challenges that define the industry? Join us. Key job responsibilities This is where you'll make your mark. You'll architect breakthrough Responsible AI solutions that become industry benchmarks, pioneering algorithms that eliminate false information, designing frameworks that hunt down vulnerabilities before bad actors find them, and developing models that understand human values across every culture we serve. Working with world-class engineers and scientists, you'll push the boundaries of model training—transforming bold research into production systems that protect millions of customers daily while withstanding attacks and delivering exceptional experiences. But here's what makes this role truly special: you'll shape the future. You'll lead certification processes, advance optimization techniques, build evaluation systems that reason like humans, and mentor the next generation of AI safety experts. Every innovation you drive will set new standards for trustworthy AI at the world's largest scale. A day in the life As a Responsible AI Scientist, you're at the frontier of AI safety—experimenting with breakthrough techniques that push the boundaries of what's possible. You partner with engineering to transform research into production-ready solutions, tackling complex optimization challenges. You brainstorm with Product teams, translating ambitious visions into concrete objectives that drive real impact. Your expertise shapes critical deployment decisions as you review impactful work and guide go/no-go calls. You mentor the next generation of AI safety leaders, watching ideas spark and capabilities grow. This is where science meets impact—building AI that's not just intelligent, but trustworthy and aligned with human values. About the team Our team pioneers Responsible AI for conversational assistants. We ensure Alexa delivers safe, trustworthy experiences across all devices, modalities, and languages worldwide. We work on frontier AI safety challenges—and we're looking for scientists who want to help shape the future of trustworthy AI.
US, WA, Bellevue
The Mission Build AI safety systems that protect millions of Alexa customers every day. As conversational AI evolves, you'll solve challenging problems in Responsible AI by ensuring LLMs provide safe, trustworthy responses, building AI systems that understand nuanced human values across cultures, and maintaining customer trust at scale. What You'll Build You'll pioneer breakthrough solutions in Responsible AI at Amazon's scale. Imagine training models that set new safety standards, designing automated testing systems that hunt for vulnerabilities before they surface, and certifying the systems that power millions of daily conversations. You'll create intelligent evaluation systems that judge responses with human-level insight, build models that truly understand what makes interactions safe and delightful, and craft feedback mechanisms that help Alexa+ grasp the nuances of complex customer conversations. Here's where it gets even more exciting: you'll build AI agents that act as your team's safety net—automatically detecting and fixing production issues in real-time, often before anyone notices there was a problem. Your innovations won't just improve Alexa+; they'll fundamentally shape how it learns, evolves, and earns customer trust. As Alexa+ continues to delight customers, your work ensures it becomes more trustworthy, safer, and deeply aligned with customer needs and expectations. Your work directly protects customer trust at Amazon's scale. Every innovation you create—from novel safety mechanisms to sophisticated evaluation techniques—shapes how millions of people interact with AI confidently. You're not just building products; you're defining industry standards for responsible AI. This is frontier research with immediate real-world impact. You'll tackle problems that require innovative solutions: training models that remain truthful and grounded across diverse contexts, building reward models that capture the nuanced spectrum of human values across cultures and languages, and creating automated systems that continuously discover and address potential issues before customers encounter them. You'll collaborate with world-class scientists, product managers, and engineers to transform state-of-the-art ideas into production systems serving millions. What We're Looking For * Deep expertise in state-of-the-art NLP and Large Language Models * Track record of building scalable ML systems * Passion for impactful research—where frontier science meets real-world responsibility at scale * Excitement about solving problems that will shape the future of AI Ready to work on AI safety challenges that define the industry? Join us. Key job responsibilities This is where you'll make your mark. You'll architect breakthrough Responsible AI solutions that become industry benchmarks, pioneering algorithms that eliminate false information, designing frameworks that hunt down vulnerabilities before bad actors find them, and developing models that understand human values across every culture we serve. Working with world-class engineers and scientists, you'll push the boundaries of model training—transforming bold research into production systems that protect millions of customers daily while withstanding attacks and delivering exceptional experiences. But here's what makes this role truly special: you'll shape the future. You'll lead certification processes, advance optimization techniques, build evaluation systems that reason like humans, and mentor the next generation of AI safety experts. Every innovation you drive will set new standards for trustworthy AI at the world's largest scale. A day in the life As a Responsible AI Scientist, you're at the frontier of AI safety—experimenting with breakthrough techniques that push the boundaries of what's possible. You partner with engineering to transform research into production-ready solutions, tackling complex optimization challenges. You brainstorm with Product teams, translating ambitious visions into concrete objectives that drive real impact. Your expertise shapes critical deployment decisions as you review impactful work and guide go/no-go calls. You mentor the next generation of AI safety leaders, watching ideas spark and capabilities grow. This is where science meets impact—building AI that's not just intelligent, but trustworthy and aligned with human values. About the team Our team pioneers Responsible AI for conversational assistants. We ensure Alexa delivers safe, trustworthy experiences across all devices, modalities, and languages worldwide. We work on frontier AI safety challenges—and we're looking for scientists who want to help shape the future of trustworthy AI.
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 an Applied Scientist on our team, you will focus on building state-of-the-art ML models for biology. 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. Key job responsibilities - Build, adapt and evaluate ML models for life sciences applications - Collaborate with a cross-functional team of ML scientists, biologists, software engineers and product managers