Member of Technical Staff - Reinforcement Learning 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. In other words 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.

If youre interested in our particular philosophy of AI progress reach out via

Key job responsibilities
Develop cutting edge multimodal Large Language Models (LLMs) to observe model and derive insights from manual workflows for automation
Work in a joint scrum with engineers for rapid invention develop cutting edge automation agent systems and take them to launch for millions of customers
Collaborate with crossfunctional teams of engineers product managers and scientists to identify and solve complex problems in GenAI
Design and execute experiments to evaluate the performance of different algorithms and models and iterate quickly to improve results
Think big about the arc of development of GenAI over a multiyear horizon and identify new opportunities to apply these technologies to solve realworld problems
Communicate results and insights to both technical and nontechnical audiences including through presentations and written reports
Mentor and guide junior scientists and engineers and contribute to the overall growth and development of the team

PhD or Masters degree and 5 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
Experience with neural deep learning methods and machine learning

PhD in Computer Science Machine Learning or a related field with a focus on Gen AI and reinforcement learning
Demonstrated experience in developing and implementing algorithms and models for supervised finetuning and reinforcement learning through human feedback
Strong programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch
Excellent problemsolving skills with the ability to think creatively and critically about complex problems
Strong communication and collaboration skills with the ability to work effectively with crossfunctional teams
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.

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150400/year in our lowest geographic market up to $260000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.