Member of Technical Staff (Reinforcement Learning), Artificial General Intelligence

Member of Technical Staff (Reinforcement Learning), Artificial General Intelligence

Job ID: | Amazon.com Services LLC

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.

If you’re interested in our particular philosophy of AI progress, reach out via

Key job responsibilities

1. Develop cutting edge multimodal Large Language Models (LLMs) to observe, model and derive insights from manual workflows for automation.
2. 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.
3. Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in GenAI.
4. Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results.
5. 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.
6. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports.
7. Mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the team.

BASIC QUALIFICATIONS

1. PhD, or Master's degree and 5+ years of applied research experience.
2. 3+ years of building machine learning models for business application experience.
3. Experience programming in Java, C++, Python or related language.
4. Experience with neural deep learning methods and machine learning.

PREFERRED QUALIFICATIONS

1. PhD in Computer Science, Machine Learning, or a related field, with a focus on Gen AI and reinforcement learning.
2. Demonstrated experience in developing and implementing algorithms and models for supervised fine-tuning and reinforcement learning through human feedback.
3. Strong programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch.
4. Excellent problem-solving skills, with the ability to think creatively and critically about complex problems.
5. Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
6. Experience with patents or publications at top-tier peer-reviewed 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.