Staff AI Engineer – Reinforcement Learning

San Francisco, CA, US • Posted 2 hours ago • Updated 2 hours ago
Contract W2
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Artificial Intelligence
  • Reinforcement Learning
  • PPO
  • A3
  • SAC
  • DDPG
  • GPU
  • Machine Learning (ML)
  • Python
  • LLM
  • RL

Summary

  • 8–12+ years in AI/ML engineering with strong focus on Reinforcement Learning
  • Hands-on experience building and deploying RL systems in production (not just research)
  • Deep understanding of RL algorithms (PPO, A3C, SAC, DDPG) and policy optimization techniques
  • Experience with multi-agent and/or hierarchical reinforcement learning
  • Strong experience integrating RL with LLMs (fine-tuning, RL-based optimization, reasoning)
  • Proficiency in Python and ML frameworks (PyTorch, JAX, TensorFlow, or Ray RLlib)
  • Experience with distributed training systems (GPU/TPU clusters, Kubernetes, cloud platforms)
  • Experience with RLHF, RLVR, or reward modeling approaches
  • Strong background in simulation environments (Gym, MuJoCo, Isaac Gym, PettingZoo)
  • Publications or contributions to open-source RL/AI frameworks
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10113656
  • Position Id: 8931355
  • Posted 2 hours ago
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