Role at a glance
- Job function
-
AI & Data AI Research & Applied Science
- Salary
- Not yet verified Check the description for pay details; an amount or pay period has not been verified.
- Location
- Boston, Massachusetts, United States
- Work arrangement
- On-site
- Experience
- Basic Qualifications - Experience with neural deep learning methods and machine learning - PhD, or Master's degree and 6+ years of applied research experience - 3+ years of building machine learning models for business application experience - Experience programming in Java, C++, Python or related language Preferred Qualifications - Experience with building agents OR training LLMs for agentic tasks
- Education
- PhD, or Master's degree and 6+ years of applied research experience
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Role Summary
The Applied Scientist on the Foundational AI Assets team supports applied research and foundational model development in generative AI and large language models. The work uses RL Gyms, data sources, and large-scale computing resources to advance LLMs.
What You'll Do
- Support the development of RL Gyms.
- Assess the usefulness of RL Gyms for frontier model advancement.
- Build techniques to advance the state of the art with LLMs.
- Support foundational model development in an applied research role.
- Leverage heterogeneous data sources and large-scale computing resources to accelerate advances in LLMs.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required: experience with neural deep learning methods and machine learning; a PhD, or a Master's degree and 6+ years of applied research experience; 3+ years of building machine learning models for business application; and experience programming in Java, C++, Python, or a related language.
Required
- Experience with neural deep learning methods and machine learning
- PhD, or Master's degree and 6+ years of applied research experience
- 3+ years of building machine learning models for business application experience
- Experience programming in Java, C++, Python or related language
Preferred
- Experience with building agents OR training LLMs for agentic tasks
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Key job responsibilities
As an Applied Scientist with the FAI team, you will support the development of RL Gyms, assess their usefulness for the frontier model advancement and build techniques to advance the state of the art with LLMs. You will support the foundational model development in an applied research role. Your work will directly impact our customers in the form of products and services that make use of GenAI technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in LLMs.
About the team
The FAI team has the mission to push the envelope in GenAI with LLMs, in order to provide the best-possible experience for our customers.
Basic Qualifications
- Experience with neural deep learning methods and machine learning- PhD, or Master's degree and 6+ years of applied research experience
- 3+ years of building machine learning models for business application experience
- Experience programming in Java, C++, Python or related language
Preferred Qualifications
- Experience with building agents OR training LLMs for agentic tasksAmazon 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, MA, Boston - 167,100.00 - 226,100.00 USD annually
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.