Senior Reinforcement Learning Engineer

Job Description

Senior Reinforcement Learning Engineer – Bio-Defense & Complex Systems - (US-based only)

We’re seeking a Senior Reinforcement Learning Engineer to join an advanced AI-driven technology company solving high-impact, real-world problems in healthcare, insurance, and complex system modeling. This role focuses on designing, implementing, and deploying RL-based decision-making and adaptive control systems in critical bio-defense, claims resilience, and risk-sensitive environments.

Role Overview :

As a Senior RL Engineer, you’ll work at the intersection of reinforcement learning, simulation, and applied machine learning. You will translate theoretical RL and systems models into operational, production-ready solutions with measurable real-world impact. This is a hands-on role, with autonomy to drive experimentation, training, validation, and deployment of RL and multi-agent systems.

Key Responsibilities :

• Design, implement, and optimize RL agents for complex, dynamic, and high-stakes environments
• Develop simulation environments (stochastic, agent-based, or hybrid) to train and evaluate RL policies
• Integrate RL models with supervised and unsupervised ML pipelines using structured (tabular) and temporal data
• Evaluate model robustness, generalization, and failure modes under uncertainty or adversarial conditions
• Collaborate with domain experts to formalize reward functions, constraints, and state spaces
• Maintain hands-on involvement in experimentation, deployment, and optimization

Required Qualifications :

Preferred / Nice to Have :

What We Value :

Why Join :

Location : Florida / Remote within the US only available.

If you’re passionate about reinforcement learning, simulation, and building AI systems with tangible, high-stakes impact, this is an exciting opportunity to make a real difference.