Robotics Reinforcement Learning Engineer

Robotics Reinforcement Learning Engineer
Hybrid – Vancouver, BC
$250,000 – $270,000 + Equity + Benefits

We’re hiring a Robotics Reinforcement Learning Engineer to join a cutting-edge robotics team focused on teaching humanoid and assistive robots how to move, balance, and adapt to real-world environments.

You’ll help design and implement scalable RL systems that enable natural, stable, and responsive locomotion—from simulated training environments to real-time deployment on full-scale platforms. This is your chance to work at the heart of machine learning and robotics, applying theory to high-impact, physical results.

In this role, you will:

• Build and train reinforcement learning models for complex motion behaviors in simulation.
• Use large-scale parallel simulation to generalize motion policies across a range of terrains and conditions.
• Apply sim-to-real techniques (e.g., domain randomization) to enable seamless policy transfer to hardware.
• Develop tools and automation workflows for RL training and testing pipelines.
• Contribute to continuous integration frameworks that validate learned motion strategies.
• Partner with biomechanics, hardware, and control teams to ensure smooth real-world deployment.

Core qualifications:

• MSc or PhD in Machine Learning, Robotics, Computer Science, or related fields.
• Strong experience with physics simulation tools like MuJoCo, Isaac Gym, Bullet, or equivalent.
• Skilled in Python and C++ with solid software engineering practices.
• Familiarity with RL frameworks such as Stable Baselines, RLlib, or custom PyTorch-based implementations.
• Deep understanding of robotic dynamics, kinematics, and control principles.
• Prior experience working with legged or wearable robotic systems in simulation or hardware.

Bonus skills:

• Hands-on exposure to sim-to-real transfer methods, including curriculum learning and domain randomization.
• Experience creating RL models that follow human-like movement or stylistic behavior.
• Ability to deploy policies zero-shot to robotic platforms.
• Contributions to open-source robotics or ML communities (GitHub, papers, demos welcome).

Rewards

• High Impact: Work on advanced systems that are transforming human mobility.
• Tech Access: Use next-gen humanoid robotics platforms and high-fidelity simulation environments.
• Flexibility: Hybrid role based in Vancouver, offering the best of in-office collaboration and remote autonomy.
• Compensation: $250,000 – $270,000 salary plus stock options, paid time off, and full extended health coverage.
• Culture: Join a multidisciplinary, innovation-driven team with a startup mindset and production-grade goals.
• Career Growth: Take ownership, specialize, or lead—the path is yours to shape.

Certus Recruitment Group is a well-established and experienced specialist consultancy providing sales, marketing, and IT recruitment services. We serve the technology sector across North America, the UK, Europe, and Australia.