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Applied Reinforcement Learning Engineer

Remote Work( USA), United States R

USD 150K-160K Mid-level Full Time

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Found 2d ago
Tasks
Perks/Benefits
Skills/Tech-stack

Actor-critic | Agent systems | BCQ | Behavioral cloning | CQL | DPO | Decision Processes | Deep Q Networks | Direct Preference Optimization | Double Deep Q Networks | Dreamer | Dueling Deep Q Networks | Eligibility Traces | GAIL | Gymnasium | Hierarchical reinforcement learning | Human Feedback | IQL | JAX | Learning from Human Feedback | Markov Decision Processes | Model-based reinforcement learning | MuZero | Multi-Agent | Multi-Agent Systems | Offline Reinforcement Learning | OpenAI Gym | Policy Gradient | Policy Optimization | Preference optimization | Proximal Policy Optimization | PyTorch | Python | Q-learning | Reinforcement Learning | Reinforcement Learning from Human Feedback | Reward Modeling | Rllib | Soft Actor Critic | Stable Baselines | Temporal Difference Learning | TensorFlow | Trust Region Policy Optimization | World Models

Education

Master of Science | PhD

Roles

Applied Reinforcement Learning Engineer | Engineer | Learning Engineer | Reinforcement Learning Engineer

Regions

North America

Countries

United States

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