Robotics Reinforcement Learning Engineer

Job title:

Robotics Reinforcement Learning Engineer

Company

Certus Recruitment

Job description

Robotics Reinforcement Learning Engineer
Hybrid – Vancouver, BC
$250,000 – $270,000 + Equity + BenefitsWe’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.

Expected salary

Location

Vancouver, BC

Job date

Tue, 19 Aug 2025 00:30:20 GMT

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