Agent RL Infra Engineer
US, CA, Santa Clara, United States
USD 224K-356K Senior-level Full Time
Tasks
- Build observability for training runs
- Build reinforcement learning cookbooks and blueprints
- Collaborate on safe deployment of training outputs
- Design reinforcement learning training loops
- Design verifiable reward environments
- Ensure security and governance compliance
- Evaluate and adapt reinforcement learning approaches
- Integrate NeMo microservices for end to end data flywheel workflows
- Integrate distributed training on GPU infrastructure
- Lead data curation and active learning strategies
- Operationalize training backends as production services
Perks/Benefits
- N/A
Skills/Tech-stack
AI Feedback | Active Learning | Cluster management | Continuous Learning | Data Curation | Data Flywheel | DeepSpeed | Direct Preference Optimization | Distributed Training | FSDP | GPU Cluster | GPU Cluster Management | Go | Group Relative Policy Optimization | Gym | Hugging Face | Hugging Face Accelerate | Job orchestration | ML Ops | Megatron | Microservices | NEMO | Observability | Pipeline Automation | Policy Optimization | Preference optimization | Proximal Policy Optimization | Python | Reinforcement Learning | Reinforcement Learning from AI Feedback | Reward Modeling | Rust | Safety constraints
Education
Regions
Countries
States
Cities
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