Reinforcement Learning Specialist

Summary

[Employer hidden — view at passion-project.co.uk] is hiring a Reinforcement Learning Specialist to design and develop RL algorithms for real-world applications. Responsibilities include building simulation environments, optimizing policy learning, collaborating with other specialists, and contributing to cutting-edge AI research. The ideal candidate has expertise in reinforcement and deep learning frameworks, a strong understanding of related concepts, coding skills in Python, and an advanced degree in a related field.

Key Responsibilities

• Designing and developing RL algorithms for real-world applications (e.g. robotics, recommendation systems, finance)
• Building simulation environments for training intelligent agents
• Optimizing policy learning using techniques such as Q-learning, PPO, A3C, and DDPG
• Collaborating with data scientists, engineers, and researchers to deploy RL models into production
• Experimenting with model architectures (e.g., actor-critic, deep Q-networks, model-based RL)
• Publishing findings and contributing to cutting-edge AI research and development

Core Requirements

• Strong expertise in reinforcement learning and deep learning frameworks (e.g. PyTorch, TensorFlow)
• Solid understanding of MDPs, reward shaping, exploration-exploitation tradeoffs, and sample efficiency
• Experience with simulation platforms (e.g., OpenAI Gym, MuJoCo, Unity ML-Agents)
• Strong coding skills in Python and familiarity with version control (Git)
• Advanced degree (Master’s or PhD) in Machine Learning, Computer Science, Robotics, or related field