Machine Learning Engineering (New Graduate), AGI Autonomy ID-12614
Amazon has launched a new research lab in San Francisco to develop foundational capabilities for useful AI agents. We’re enabling practical AI to make our customers more productive, empowered, and fulfilled. In particular, our work combines large language models (LLMs) with reinforcement learning (RL) to solve reasoning, planning, and world modeling in both virtual and physical environments. Our research builds on that of Amazon’s broader AGI organization, which recently introduced Amazon Nova, a new generation of state-of-the-art foundation models (FMs).
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Our lab is a small, talent-dense team with the resources and scale of Amazon. Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research. We’re entering an exciting new era where agents can redefine what AI makes possible. We’d love for you to join our lab and build it from the ground up!
Key job responsibilities
You will contribute directly to AI agent development in a research engineering role: running experiments, building tools to accelerate scientific workflows, and scaling up AI systems. You will be hired as a Member of Technical Staff.
Basic Qualifications
- Bachelor’s degree in Computer Science or related technical field
- Strong proficiency in Python
- Experience with deep learning methods and tools, e.g., PyTorch
Preferred Qualifications
- Hands-on experience in academic labs, industry internships, and/or open source development
- Demonstrated ability to own an ambiguous project end-to-end, i.e., writing code, designing experiments, and interpreting results
- Capacity to work autonomously and with a small team to drive research progress