SimBot Challenge FAQs

Frequently asked questions about the challenge.

General

What is the Alexa Prize?

Alexa is Amazon’s cloud-based voice service available on over 100 million devices from Amazon and third-party device manufacturers. With Alexa, you can build natural voice experiences that offer customers a more intuitive way to interact with the technology they use every day. Our collection of tools, APIs, reference solutions, and documentation makes it easy for anyone to build with Alexa.

Why did Amazon create the Alexa Prize?

The Alexa Prize, an annual university competition dedicated to accelerating the field of conversational artificial intelligence (AI), was created to recognize students from around the globe who are changing the way we interact with technology. The goal is to advance several areas of conversational AI including natural language understanding (NLU), context modeling, dialog management, commonsense reasoning, natural language generation (NLG), and knowledge acquisition.

How does the Alexa Prize support research?

The Alexa Prize is a research testbed for university students to experiment with and advance conversational AI at scale.

Research teams own the intellectual property (IP) in their systems and are encouraged to publish scientific articles on their work. As described in the Official Rules, participating teams grant Amazon a non-exclusive license to any technology or software they develop in connection with the competition.

What new datasets will I have access to as part of the Alexa Prize?

The TEACh dataset as well as a training dataset proprietary to the live interaction portion of the SimBot Challenge will be available to competitors in each phase.

SimBot

What is the SimBot Challenge?

SimBot, a competition focused on helping advance development of next-generation virtual assistants that will assist humans in completing real-world tasks by continuously learning, and gaining the ability to perform commonsense reasoning.

The SimBot Challenge will have two phases: A public benchmark phase, and a live interactions phase. Participants in both phases will build machine-learning models for natural language understanding, human-robot interaction, and robotic task completion. Artificial intelligence challenges addressed in the competition relate to reasoning on language and scene understanding, learning from demonstration, self-learning, and task completion utilizing natural language.

Unlike previous Alexa Prize competitions, the public benchmark challenge phase will be open to university teams, as well as individuals in academia and industry interested in advancing the science of AI and engaging top researchers from around the globe. The SimBot Challenge public benchmark phase is like existing visual language navigation competitions.

What is the difference between the Public Benchmark Challenge and the Live Interaction Challenge?

The Public Benchmark Challenge is open to any individual or team, academic or industry, who wants to complete and submit a model for evaluation and rating during the evaluation period. It is based on the TEACh dataset offered to the research community in October, 2021. The Live Interaction Period’s participation is limited solely to the university-based teams selected for the SimBot Challenge in November 2021 and June, 2022. These teams will each receive Amazon sponsorship to build a SimBot that will compete in a challenge from July, 2022 to September 2022 where they will receive real time ratings and feedback from Alexa Users.

Why is the SimBot - Live Interaction Challenge only limited to university teams?

The SimBot Challenge - live interaction phase is part of the Alexa Prize which is currently limited to universities and university students in Amazon initiatives to advance AI. However, the Public Benchmarking Challenge is open to both academic and university-based teams.

What will my SimBot do?

SimBot will navigate in a virtual environment to complete challenges guided by Alexa users. SimBot will interact with objects in the environment including but not limited to those common to offices and homes. There will be obstacles and hazards introduced to make game play fun and challenging.

How will I build my SimBot?

SimBots will use images from the game and instructions from Alexa users to navigate in a virtual world. Teams will build AI models which recognize objects and scenes as well as understand natural language commands from users. We plan to provide baseline data and a baseline model as a reference but we expect teams to develop new and novel approaches as well as augment the provided data to improve performance.

Eligibility - Public Benchmark Challenge (phase 1, SimBot challenge)

Who is eligible to participate in the public benchmark challenge?

Any individual or team, academic or industry-based.

How do I sign up to participate in the public benchmark challenge?

A registration form will open on November 15, 2021 at alexaprize.com.

Is funding available to university teams competing in the public benchmark challenge?

No, funding is only available to university teams selected to participate in the SimBot Challenge. In addition to the teams selected in 2021 up to four new, high-performing teams from the public benchmark challenge will be invited to apply for the SimBot challenge, live interaction phase for which funding is available. Learn more here: www.alexaprize.com

Who can apply to participate?

Any individual or team can register and participate in the public benchmark phase with exception of parties from Cuba, Iran, North Korea, Sudan, Syria, and the region of Crimea.

Registration for the public benchmark challenge will open November 15, 2021 at www.alexaprize.com. The challenge will begin on January 10, 2022.

Do I need to be a certain age?

Participants must be at or above the age of majority in the country, state, province or jurisdiction of residence at the time of registration.

Can I enroll if a family member is an Amazon employee?

Immediate family members and household members of Amazon employees, directors and contractors are not eligible to participate.

Eligibility - SimBot Challenge (includes sponsored teams for both Public Benchmark and Live Interaction phases)

Who can apply to participate?

The Alexa Prize is open to full-time students enrolled in an accredited university, with the exception of universities in Cuba, Iran, North Korea, Sudan, Syria, and the region of Crimea (see Official Rules). Proof of enrollment will be required to participate.

Can I participate if I don’t attend a university?

No. The Alexa Prize is open only to full-time enrolled university students.

Do I need to be enrolled in a university program throughout the duration of the competition?

All participating team members must remain full-time students in good standing at their university while participating in the competition.

Do I need to be a certain age?

Participants must be at or above the age of majority in the country, state, province or jurisdiction of residence at the time of entry.

Can I enroll if a family member is an Amazon employee?

Immediate family members and household members of Amazon employees, directors and contractors are not eligible to participate. See Official Rules for additional restrictions.

If my team fails to apply for the SimBot Challenge now, will there be any future opportunities to compete in the Live Interaction challenge?

Yes, the initial application period run from October 4-31, 2021. In addition to the teams selected in 2021 up to four new, high-performing university teams from the public benchmark challenge will be invited to apply for the SimBot challenge, live interaction phase for which funding is available. Learn more here: www.alexaprize.com

Will university teams selected post-Public Benchmark Challenge be eligible for funding and for what amount?

Teams selected for the SimBot Challenge in June, 2022 will be eligible for funding.

If my team was not selected during the first application period are we eligible to re-apply in may if we qualify?

Yes. University-based teams that participate in the public benchmark phase are eligible to re-apply for the SimBot challenge between May 9 - 23, 2022. Four new, high-performing university teams from the public benchmark challenge will be invited to apply for the SimBot challenge, live interaction phase for which funding is available. Learn more here: www.alexaprize.com

My team is not completely comprised of university students but we perform well in the public benchmark challenge? Is there an opportunity for us to continue in the competition?

Yes, we plan to continue the public benchmark competition through the end of 2022.

My company does collaborative work with several universities, are we eligible to compete in the live interaction challenge alongside them?

No, only full-time students are eligible to participate in the SimBot challenge, which includes the live interaction period.

My university and another frequently collaborate on projects - is there any exception to the students all enrolled in one university rule?

Applications are limited to students all from the same, single, university.

Teams - SimBot Challenge

How many teams will be selected to participate?

All applications will be reviewed and evaluated by a panel of Amazon experts. Up to ten teams will be selected and sponsored by Amazon. All teams selected in November, 2021 will receive a $250,000 grant while those selected in June, 2022 will receive a $200,000 grant intended to support two full-time students, a month of faculty time, free Alexa devices, and free AWS hosting including access to CPU and GPU based machines, SQL and NoSQL databases, and object storage. See the Official Rules for details.

How many team members can our team have?

There are no minimum or maximum team member requirements. All team members must be enrolled in their university throughout the duration of the competition. All teams will receive a $250,000 grant if selected in November 2021 or a $200,000 grant if selected in June, 2022 regardless of how many members are on the team. We recommend a team with 4-6 students with diverse fields of study or areas of expertise.

Can students from different universities be on the same team?

Teams must be comprised of students attending the same university.

Can one university have more than one team?

Yes, universities may have more than one team.

Can I participate on two separate teams?

You can only be a part of one team for the duration of the competition.

Can undergraduate and graduate students work together?

Yes, teams may be comprised of undergraduate and graduate students.

Do I need a faculty advisor?

All teams must nominate a faculty advisor and include the faculty advisor’s consent in the applications.

What is the role of the faculty advisor?

Faculty advisors will advise students on technical directions and be a sounding board for new ideas, similar to a graduate school advisor. They will also act as the official representative from the university for this competition.

Can we add or remove team members during the competition?

During the competition, faculty advisors may request to remove or add members to the team, subject to approval by Amazon.

Can we discuss our SimBot with faculty or students who aren’t on our team?

Only team members may work on their SimBot. However, the faculty advisor and other students and faculty members at your university may provide support and advice to your team and may co-author technical publications and research papers.

Application process - SimBot Challenge

How do we apply?

Begin the application here.

What do we need to apply?

Once you have selected your team members, team leader, and faculty sponsor, you are ready to begin the application process. To see the questions, you can preview a PDF of the online application.

Do all team members have to apply?

Each team must have a team lead, who should apply on behalf of the whole team. Your application must include all of your team members’ information.

Is there an application fee?

There is no application fee.

How will teams be selected to participate?

All applications will be reviewed by a panel of Amazon employees. Teams will be selected based on the following criteria: (1) the potential scientific contribution to the field; (2) the technical merit of the approach; (3) the novelty of the idea; and (4) an assessment of the team’s ability to execute against their plan. Please be sure to provide enough detail in your application to enable our experts to evaluate your proposal.

Competition details - SimBot Challenge

What is the goal of the challenge?

To develop AI models which advance the state of the art and allow users to naturally interact with a robotic assistant in a virtual world to successfully complete a range of challenges.

How will winners be selected?

Winners will be determined based on the final standings at the completion of the finals period.

Can we use other funding to help us participate in this challenge?

Yes, you may use other funding to support your team, subject to the terms described in the Official Rules. External funding will need to be disclosed by January 1, 2023.

Will Alexa customers be able to engage with our SimBot?

Your team will be required to submit its SimBot for certification and publication by the Amazon Alexa team. After certification, you will enter the Internal Amazon Beta Period, where Amazon employees will test your SimBot and provide feedback. After the Internal Amazon Beta Period, we will allow Amazon Alexa customers to try your SimBot and provide feedback to you. Amazon may impose Availability Criteria, or requirements the SimBot must meet before it will be made available to Alexa users. Availability Criteria may include criteria such as a minimum average customer rating, uptime requirements, and an ability to consistently filter offensive content.

Amazon launched the Echo in the UK, Germany, India, Japan, and other countries. Will localized languages be supported?

Your team must build its SimBot using U.S. English. Your SimBot will be available to Alexa customers in the U.S. Customers in other countries may also access it by setting their Amazon PFM (Preferred Marketplace) to U.S.

Will we publish our research from the Alexa Prize?

Yes. Publishing research papers as an outcome of your work on the Alexa Prize is required for all teams participating in the competition, although teams should not publish Amazon confidential information, as described in the Official Rules. The Alexa Prize requires all teams to submit a technical paper for the Alexa Prize proceedings. Your SimBot will not be selected for the finals if your team does not submit a technical paper for Alexa Prize proceedings. Papers will be published at the end of the competition in an online Proceedings of the Alexa Prize, which will be publicly available.

Teams may also publish research papers in third-party publications and conferences, as long as all papers are provided to Amazon for review at least two weeks before the submission deadlines and no research papers are published before the Alexa Prize proceedings are published without Amazon’s prior approval.

Who will own the intellectual property rights in my submission?

You will retain ownership over your SimBot. Amazon will have a non-exclusive license to any technology or software you develop in connection with the competition. See the Official Rules for details.

Prizes - SimBot Challenge

What are the prizes for winning the competition?

A prize of $500,000 will be awarded to the team that creates the best SimBot. The second-place and third-place finalist teams will receive a $100,000 and a $50,000 prize, respectively. See the contest rules for details.

Do we get a stipend and devices to participate in the Alexa Prize?

Up to ten teams will be sponsored to participate in the Alexa Prize in November, 2021. These teams’ universities will receive a $250,000 research grant to fund the team members’ work over the year. Additional teams selected to participate in the SimBot Live Interaction challenge in June, 2022 will receive a $200,000 research grant to fund the team members’ work over the year.

The sponsorship includes one Alexa-enabled device per team member for up to a total of three devices per team and one Alexa-enabled device per faculty advisor, free AWS services to support the development of their SimBot, and support from the Alexa team.

How can the grant be spent?

The grants will be awarded with the intention that they will support two full-time students for the duration of the Competition and one month of the Faculty Advisor’s salary. No more than 35% of the research grants may be allocated to administrative fees. If your team would like to use the funds in another manner, your faculty advisor must receive approval from Amazon before doing so.

What happens if we are selected and receive a stipend but can no longer participate?

Stipends will be awarded in installments payable to the university. If your team withdraws before any of the installments, remaining funds will not be transferred to the university.

How will the prizes be distributed among a team?

The first, second, and third place prizes will be distributed equally among all registered team members. The official list of registered team members must be confirmed by January 30, 2023.

Timeline - SimBot Challenge

What are the key milestones of the competition?

Teams must submit their applications between October 1, 2021 and October 31, 2021. Between November 1 and November 10, 2021, we will announce teams selected to participate. In the summer of 2022 following the public benchmark phase and the second application period teams will be invited to an Alexa Prize Bootcamp at Amazon where they will receive training on the resources made available to all competing teams. The finals will be scheduled between January 30 and March 27, 2023 and will determine the winning teams in the first annual SimBot Challenge.

If selected, when will we receive the stipend, devices, access to the Alexa Prize SimBot toolkit, our AWS account, and be introduced to our point of contact?

We will reach out to all teams no later than November 10, 2021 with instructions on next steps. Up to ten teams will be selected to receive a $250,000 stipend, Alexa-enabled devices, free AWS services to support their development efforts, and support from the Alexa team.

More information

See the full competition rules or submit your questions. Need assistance? Email: alexaprizesupport@amazon.com

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Job summaryAre you excited about joining a team of scientists building lasting solutions for Amazon customers from the ground up? Our team is using machine learning, and statistical methods to take Amazon’s unique customer obsession culture to another level by designing solutions that change customers behavior when it comes to product search, discovery, and purchase. In order to achieve this, we need scientists who will help us build advanced algorithms that deliver first-rate user experience during customers’ shopping journeys on Amazon, and subsequently make Amazon their default starting point for future shopping journeys. These algorithms will utilize advances in Natural Language Understanding, and Computer Vision to source and understand contents that customers trust, and furnish customers with these contents in a way that is precisely tailored to their individual needs at any stage of their shopping journey. Key job responsibilitiesWe are looking for an Applied Scientist to join our rapidly growing Seattle team. As an Applied Scientist, you are able to use a range of science methodologies in NLP/CV to solve challenging business problems when the solution is unclear. For example, you may lead the development of reinforcement learning models such as MAB to rank content to be shown to customers based on their queries. You have a combination of business acumen, broad knowledge of statistics, deep understanding of ML algorithms, and an analytical mindset. You thrive in a collaborative environment, and are passionate about learning. Our team utilizes a variety of AWS tools such as SageMaker, S3, and EC2 with a variety of skillsets in shallow and deep learning ML models, particularly in NLP and CV. You will bring knowledge in many of these domains along with your own specialties and skilset.Major responsibilities:Use statistical and machine learning techniques to create scalable and lasting systems.Analyze and understand large amounts of Amazon’s historical business data for Recommender/Matching algorithmsDesign, develop and evaluate highly innovative models for NLP.Work closely with teams of scientists and software engineers to drive real-time model implementations and new feature creations.Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and implementation.Research and implement novel machine learning and statistical approaches, including NLP and Computer VisionA day in the lifeIn this role, you’ll be utilizing your NLP or CV skills, and creative and critical problem-solving skills to drive new projects from ideation to implementation. Your science expertise will be leveraged to research and deliver often novel solutions to existing problems, explore emerging problems spaces, and create or organize knowledge around them. About the teamOur team puts a high value on your work and personal life happiness. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of you. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to establish your own harmony between your work and personal life.
US, WA, Seattle
Job summaryAre you excited about joining a team of scientists building lasting solutions for Amazon customers from the ground up? Our team is using machine learning, and statistical methods to take Amazon’s unique customer obsession culture to another level by designing solutions that change customers behavior when it comes to product search, discovery, and purchase. In order to achieve this, we need scientists who will help us build advanced algorithms that deliver first-rate user experience during customers’ shopping journeys on Amazon. These algorithms will utilize advances in Natural Language Understanding, and Computer Vision to source and understand content that customers trust, and furnish customers with the content in a way that meets their needs at any stage of their shopping journey. Key job responsibilitiesUse statistical and machine learning techniques to create scalable and lasting systems.Analyze and understand large amounts of Amazon’s historical business data for Recommender/Matching algorithmsDesign, develop and evaluate highly innovative - Work closely with teams of scientists and software engineers to drive real-time model implementationsEstablish scalable, efficient, automated processes for large scale data analyses, model development, model validation and implementation.Research and implement novel machine learning and statistical approaches, including NLP and Computer VisionA day in the lifeIn this role, you’ll be utilizing your NLP or CV skills, and creative and critical problem-solving skills to drive new projects from ideation to implementation. Your science expertise will be leveraged to research and deliver often novel solutions to existing problems, explore emerging problems spaces, and create or organize knowledge around them. About the teamOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.We put a high value on your work and personal life happiness. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of you. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to establish your own harmony between your work and personal life.
US, MA, Westborough
Job summaryAre you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun.Amazon.com empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas.This role is a 6-month Co-Op to join AR full-time (40 hours/week) from January 2023 to June 2023. Amazon Robotics co-op opportunities will be based out of the Greater Boston Area in our two state-of-the-art facilities in Westborough, MA and North Reading, MA. Both campuses provide a unique opportunity to have direct access to robotics testing labs and manufacturing facilities.Key job responsibilitiesWe are seeking data scientist co-ops to help us analyze data, quantify uncertainty, and build machine learning models to make quick prediction.
GB, London
Job summaryAmazon's F3 (Fresh, Food Fast) team in Europe is seeking a truly innovative and technically strong data scientist with a background in machine learning, and statistical modeling/analysis, as well as time-series forecasting. We are looking for a highly motivated, analytical and detail-oriented candidate to help build scalable prescriptive & predictive business analytics solutions that supports various aspects of Amazon Grocery business. You are a pragmatic generalist. You can equally contribute to each layers of a data solution – you work closely with product managers and stakeholders to define the inputs and the outputs; liaise with with business intelligence engineers to obtain relevant datasets and prototype predictive analytic models and implement data pipeline to productionize your models, and review key results with business leaders and stakeholders. Your work exhibits a balance between scientific validity and business practicality.Key job responsibilitiesTo be successful in this role, you must be able to turn ambiguous business questions into clearly defined problems, develop quantifiable metrics and robust machine learning models from imperfect data sources, and deliver results that meet high standards of data quality, security, and privacy.Interview stakeholders to gather business requirements and translate them into concrete requirement for data science projectsBuild models that predict changes / prescribe solutions and incorporate inputs from product, engineering, finance and marketing partnersApply data science techniques to automatically identify trends, patterns, and frictions related to a wide variety of operational topicsWork with BIEs and WW Data Engineering team to deploy models and experiments to productionIdentify and recommend opportunities to automate systems, tools, and processes.A day in the lifeIn a week, you will spend 20% of your available time working with the stakeholders on scoping or demo-ing a new feature for an existing solution or a completely new solution.As a Data Scientist, this time will be also spent advising on advanced experiment design & analysis to the business.20% will be spent on operational excellence tasks, that are planned in advance.50% of your time will be about building the solutions.10% is allocated for urgent non-planned work.Of course, the time for you to learn a new technology, attend or present at an internal analytics conference is baked into workload planning.About the teamThe team has both Data Science and Business Intelligence skillset, which allows to create solutions at the intersection of two disciplines and learn from each other.We interact with multiple stakeholder groups, including Vendor Managers, Amazon Vendor Services, Category Leaders, PMs, Operations - creating solutions that bring several groups of stakeholders together.