Alignerr
Robotics ML Expert — MuJoCo Simulation
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
About The Role
What if your expertise in robotics and machine learning could directly shape how the next generation of intelligent agents learn to move, manipulate, and interact with the physical world? We're looking for Robotics ML Experts based in or around London with hands-on MuJoCo experience to design, build, and refine simulation environments that train AI systems to perform real-world tasks — from locomotion and dexterous manipulation to complex multi-agent coordination.
This is a fully remote, flexible contract role for experienced practitioners who live and breathe physics simulation, reinforcement learning, and robot control. If you've spent time wrangling MJCF files, tuning reward functions, and debugging contact dynamics, this role was made for you.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Design, develop, and iterate on MuJoCo simulation environments for robotics research and AI training
- Implement and tune reinforcement learning algorithms (PPO, SAC, TD3, etc.) to train agents in simulated tasks
- Define reward functions, observation spaces, and action spaces that produce robust, transferable policies
- Debug and optimize physics simulations — contact models, actuator dynamics, and scene configurations
- Evaluate trained policies for stability, generalization, and sim-to-real transfer potential
- Document environment specifications, training procedures, and experimental results clearly and thoroughly
- Collaborate asynchronously with research teams to align simulation work with broader project goals
- Stay current with the latest advances in robot learning, simulation, and embodied AI
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Who You Are
- Strong hands-on experience with MuJoCo (or MuJoCo via dm_control, Gymnasium/Gymnasium-Robotics, or similar wrappers)
- Solid understanding of reinforcement learning theory and practical training pipelines
- Proficient in Python and comfortable with ML frameworks such as PyTorch or JAX
- Experienced in defining and shaping reward functions for complex robotic tasks
- Familiar with robot kinematics, dynamics, and control fundamentals
- Able to read and write MJCF/XML model files and understand their physics implications
- Self-directed, detail-oriented, and comfortable working independently in an async environment
- Strong written communicator who can document technical work clearly
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Nice to Have
- Experience with sim-to-real transfer techniques (domain randomization, system identification)
- Familiarity with other physics simulators — Isaac Gym, PyBullet, Drake, or Genesis
- Background in multi-agent environments or hierarchical RL
- Published research or open-source contributions in robotics, RL, or embodied AI
- Experience with imitation learning, model-based RL, or world models
- Graduate-level coursework or degree in robotics, ML, computer science, or a related field
Why Join Us
- Work on cutting-edge robotics and AI simulation projects alongside leading research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, milestone-driven work
- Directly influence how AI agents learn to interact with the physical world
- Engage with a global community of top-tier ML and robotics practitioners
- Potential for ongoing work and contract extension as new projects launch
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location