Remote

Reinforcement Learning Engineer

Engineeringfull timemid level$85k-$135k
AI ScreenedRemote B2BEU Talent Pool1 applicants
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EU engineers, ready to place with your US clients

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About This Role

We're seeking a Reinforcement Learning Engineer to develop and optimize RL-based algorithms that power our AI-first recruiting platform. You'll design learning agents that improve candidate matching, automate talent discovery workflows, and enhance recruiter productivity through intelligent decision-making systems. This is a hands-on role where you'll take RL models from research to production, working with real-world recruitment data at scale.

Requirements

  • Develop and implement reinforcement learning algorithms (DQN, PPO, A3C, or similar)
  • Write production-grade Python code with strong software engineering practices
  • Design and optimize reward functions and state/action spaces for RL agents
  • Evaluate RL model performance using metrics, simulations, and A/B testing
  • Collaborate with data engineers and product teams to integrate RL systems into production
  • Demonstrate experience shipping ML models to production environments

Required Skills

Reinforcement LearningPythonPyTorchPolicy Gradient MethodsDeep Q-LearningModel Training & EvaluationMarkov Decision ProcessesTensorFlow