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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