Sr. Applied Scientist, AGI

Socket.dev; Sunnyvale (CA); On-site; USD 192,000 - 260,000; Full time

Job summary

Amazon's Foundational AI (FAI) team in Sunnyvale, CA is seeking an Applied Scientist with deep learning expertise to build GenAI technology with LLMs. You will work on RL Gym development and apply research to advance frontier models.

In this applied research role, you will leverage massive data and compute resources to accelerate LLM progress, delivering practical products and services that embody GenAI capabilities.

Qualifications

• 3+ years of building machine learning models for business applications.
• Experience with large-scale ML systems, profiling and debugging, and understanding of system performance and scalability.
• PhD, or Master's degree and 6+ years of applied research experience.
• Experience programming in Java, C++, Python or related language.

Responsibilities

• Support RL Gym development and frontier model advancement with GenAI.
• Develop techniques to advance state-of-the-art LLMs.
• Leverage large-scale data sources and compute resources to accelerate LLM progress.

Skills

ML model development

Large-scale ML systems

Programming languages

Education

PhD

Master's degree + 6+ years applied research

Tools

Java

C++

Python

Job description

The Foundational AI (FAI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs).

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 a mission to push the envelope in GenAI with LLMs, in order to provide the best-possible experience for our customers.

Basic Qualifications

• 3+ years of building machine learning models for business application experience
• Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language

Preferred Qualifications

• Experience with building agents OR training LLMs for agentic tasks

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

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.

• 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
• parental leave

Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, San Francisco - 192,200.00 - 260,000.00 USD annually

USA, CA, Sunnyvale - 192,200.00 - 260,000.00 USD annually