Staff Reinforcement Learning Research Engineer (Robotics)

Location: Waltham Office, Massachusetts, United States

Salary: $155,284.34–$200,000 base pay annually

Company

hirify.global develops humanoid and quadruped robots and the software, control, and machine learning systems that power them.

What you will do

• Own and develop the reinforcement learning stack for the company's robotic platforms.
• Implement on-policy and off-policy learning algorithms.
• Scale GPU-accelerated simulation to generate millions of samples per second.
• Develop sim-to-real transfer methods for robust and safe deployment on physical robots.
• Integrate reinforcement learning with vision-language-action models to fine-tune and distill multimodal policies.
• Build reproducible deployment workflows and visualization tools for data-driven research.

Requirements

• MS with 3+ years of experience or a PhD in machine learning, robotics, or a related field.
• Experience deploying policies on physical robots with attention to latency, robustness, and safety.
• Expertise with reinforcement learning toolboxes such as RSL-RL, CleanRL, RLlib, or Stable Baselines.
• Expertise with simulation and rendering tools including Isaac Lab, MuJoCo, MjWarp, or MjLab.
• Proficiency in PyTorch and/or JAX, plus inference runtimes such as ONNX, Triton, or TensorRT.
• Strong software engineering fundamentals, including Bazel, monorepos, Docker, and CI/CD.

Nice to have

• Experience building production-grade reinforcement learning training pipelines.
• Deep knowledge of GPU-accelerated physics simulation.
• Experience applying reinforcement learning to humanoid locomotion, whole-body control, or dexterous manipulation.
• Experience with sim-to-real transfer, domain randomization, or system identification.
• Experience with heterogeneous compute clusters and Kubernetes.

Culture & Benefits

• Ownership of company-wide reinforcement learning tools used across the robotic platform portfolio.
• Direct access to compute infrastructure for large-scale experiments.
• Opportunity to define new capabilities in real-world robotics.
• Medical, dental, and vision benefits.
• 401(k), paid time off, and an annual bonus structure.