Applied Scientist - Agentic AI, Amazon Fulfillment Technology
Tasks
- Build multi agent orchestration and tool use pipelines
- Conduct offline and online evaluation of agent systems
- Develop agentic systems for operational decision making
- Develop decision quality metrics
- Develop reward modeling and policy optimization
- Generate training and preference data
- Mentor interns and support research publications
- Perform supervised fine tuning on trajectories and tool traces
- Train and fine-tune large language models
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | DPO | Deep learning | Evaluation | Fine Tuning | GRPO | IPO | Language Models | Large Language Models | Machine Learning | Multi-Agent | Multi-Agent Systems | Off-policy evaluation | Offline Reinforcement Learning | PPO | Policy Evaluation | Policy Optimization | Python | RAG | RLAIF | RLHF | Reinforcement Learning | Rejection Sampling | Reward Modeling | Supervised Fine Tuning | Tool use | Vector Search
Education
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