Member of Technical Staff - Reinforcement Learning, AGI Autonomy

Description

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, we’re 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, we’re able to maximize the amount of compute per person. Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research.

• Develop 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 automation agent systems, and take them to launch for millions of customers
• Collaborate with cross-functional 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 multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems
• Communicate results and insights to both technical and non-technical 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 Master's 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 fine‑tuning and reinforcement learning through human feedback
• Strong programming skills in Python and experience with deep learning frameworks such as Tensor Flow or Py Torch
• Excellent problem‑solving skills, with the ability to think creatively and critically about complex problems
• Strong communication and collaboration skills, with the ability to work effectively with cross‑functional teams
• Experience with patents or publications at top‑tier peer‑reviewed conferences or journals

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 working safely and cooperatively with other employees, supervisors, and staff; abiding by standards of excellence; communicating effectively; and following all federal, state, and local laws. {additional supports and considerations under the Fair Chance Ordinances}

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, please see (Use the "Apply for this Job" box below). for more information. If the country/region you’re applying in isn’t 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 $350,000 a year in our lowest geographic market up to $350,000 a year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon provides total compensation including equity, sign‑on payments, and other benefits.

Job : A3120122