Member of Technical Staff - Reinforcement Learning Infrastructure AGI Autonomy

The Amazon AGI SF Lab is focused on developing new foundational capabilities for enabling useful AI agents that can take actions in the digital and physical worlds. Were enabling practical AI that can actually do things for us and make our customers more productive empowered and fulfilled.

The lab is designed to empower AI researchers and engineers to make major breakthroughs with speed and focus toward this goal. Our philosophy combines the agility of a startup with the resources of Amazon. By keeping the team lean were able to maximize the amount of compute per person. Each team in the lab has the autonomy to move fast and the longterm commitment to pursue highrisk highpayoff research.

In this role you will work closely with research teams to design build and maintain systems for training and evaluating stateoftheart agent models.

Our team works inside the Amazon AGI SF Lab an environment designed to empower AI researchers and engineers to work with speed and focus. Our philosophy combines the agility of a startup with the resources of Amazon.

Key job responsibilities
* Develop cuttingedge training infrastructure to ensure largescale reinforcement learning on LLMs runs highly efficient and robust.
* Work across the entire technology stack including low level ML system job orchestration and data management.
* Analyze troubleshoot and profiling complex ML systems identify and address performance bottlenecks.
* Work closely with researchers conduct MLSys research to create new techniques infrastructure and tooling around emerging research capabilities.

PhD or Masters degree and 3 years of applied research experience
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
Experience debugging ML systems

PhD in Computer Science Machine Learning or a related field with a focus on ML System.
Demonstrated experience in developing implementing and debugging large scale ML systems.
Experience with distributed system Megatron vLLM Ray and working with GPUs.
Experience with patents or publications at toptier peerreviewed conferences or journals.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 Companys 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.

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