Location: London (hybrid strongly preferred); remote in EU possible for exceptional candidates
Type: Full-time
Seniority: Open from postdoctoral level to senior/staff level
About the Position
Our client is reimagining how virtual agents move, behave, and interact. By combining real-time simulation, reinforcement learning, and generative models, they’re building a new foundation for intelligent animation in digital worlds; from characters to physically grounded agents.
This isn’t just an ML research role - you’ll be implementing novel algorithms, working directly in simulation, and tuning systems that will run in production pipelines. We’re looking for engineers who thrive in high-agency environments and want to push the edge of embodied intelligence.
What You'll Do:
* Develop and train RL-based control policies for humanoid or robotic characters in simulation
* Experiment with generative methods for motion synthesis, behaviour blending, and skill composition
* Build robust systems on top of modern simulation engines (Isaac Sim, MuJoCo, Unity, etc.)
* Implement new research ideas from papers, then go further and make them work
* Work closely with a small, tight-knit team of engineers and researchers shipping iterative prototypes
Experience Required:
* Proven experience in reinforcement learning for control, robotics, or animation
* Strong coding ability in Python and comfort with performance-aware development
* Familiarity with simulation environments (Isaac Sim/Lab, MuJoCo, Unity, PyBullet)
* Curiosity for generative methods (VAEs, diffusion, trajectory priors)
* Strong grasp of research from groups like Levine, Peng, Abbeel, Finn, or Mordatch
* Comfortable working across both high-level ML and low-level physics code
* Self-motivated, fast learner, collaborative mindset
Bonus Experience (Nice to Have)
* Experience with character animation pipelines
* Unity engine or game dev familiarity
* Experience deploying models in real-time or latency-sensitive environments
Why Join
* Join an early team building tech with massive creative and technical potential
* Tackle some of the hardest problems at the intersection of AI, physics, and animation
* Work in a culture that values speed, autonomy, and deep technical craft
* Competitive salary + deep equity with meaningful upside
* Hybrid-first culture in London, with remote flexibility for exceptional contributors
**Relocation support/sponsorship is viable for exceptional candidates who intend to relocate to London**
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