Applied Scientist II, AWS Quick

Amazon Web Services (AWS)

New York (NY)

Sur place

USD 172 000 - 223 000

Plein temps

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Avantages offerts par ce poste

Health insurance
401(k) matching
Paid time off
Parental leave
RSUs

Résumé du poste

Amazon Development Center U.S., Inc. in New York is seeking world-class researchers to advance agent-based AI across autonomous planning, multimodal models, and RL.

You will publish findings, collaborate with teams, and deliver scalable models while benefiting from AWS-grade resources, mentorship, and a developer-friendly culture.

Qualifications

  • 3+ years building models for business applications.
  • Patents or publications at top-tier conferences or journals.
  • Programming experience in Java, C++, Python or similar.
  • Experience with algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

Responsabilités

  • Define and implement automated reasoning features using scalable methods.
  • Apply software engineering best practices to ensure quality.
  • Work in an agile, startup-like development environment.
  • Deliver high-quality scientific artifacts.
  • Collaborate with team to drive business decisions.

Connaissances

Model building
Publications
Java
C++
Python
Algorithms

Outils

Unix/Linux

Description du poste

Description

Come join the AWS Agentic AI science team in building the next generation models for intelligent automation. AWS, the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. Our customers bring problems that will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops.

We are looking for world class researchers with experience in one or more of the following areas - autonomous agents, API orchestration, Planning, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making.

  • Define and implement new automated reasoning features that employ scalable and efficient approaches to solve complex problems using neural learning and symbolic/formal reasoning
  • Apply software engineering best practices to ensure a high standard of quality for all team deliverables
  • Work in an agile, startup-like development environment
  • Deliver high-quality scientific artifacts
  • Work with the team to help drive business decisions
About The Team

Why AWS? AWS is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Basic Qualifications
  • 3+ years of building models for business application experience
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals
  • Experience programming in Java, C++, Python or related language
  • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred Qualifications
  • Experience using Unix/Linux
  • Experience in professional software development

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, NY, New York - 172,400.00 - 223,400.00 USD annually

Company - Amazon Development Center U.S., Inc.

Job ID: A10593923

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