Helix AI Engineer, Reinforcement Learning
Tasks
- Build scalable distributed training systems
- Collaborate to integrate reinforcement learning into autonomy stack
- Design and implement reinforcement learning algorithms
- Develop evaluation frameworks for policy performance
- Develop exploration strategies
- Develop reward modeling and credit assignment
- Improve policy robustness
- Train policies from interaction and feedback
- Train policies in simulation and real world
- Work with online and offline reinforcement learning
Perks/Benefits
Skills/Tech-stack
Credit Assignment | Distributed Training | Experiment Management | Exploration | Model-based reinforcement learning | Offline Reinforcement Learning | Online Reinforcement Learning | Partial Observability | Policy Optimization | PyTorch | Python | Reinforcement Learning | Reward Modeling | Robustness | Simulation | Value Functions
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Reinforcement Learning Engineer
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