Senior Machine Learning Research Engineer

📋 Description

• Design and train learning-based locomotion and whole-body control policies for dynamic robotic
• Develop motion primitives using different learning based generative models.
• Apply reinforcement learning, imitation learning, and other learning-based approaches to motion
• Build scalable simulation, data generation, and training pipelines using platforms such as Isaac
• Develop methods for robustness, adaptation, and sim-to-real transfer, including domain
• Deploy, evaluate, debug, and fine-tune learned policies on physical humanoid robots.

🎯 Requirements

• BS, MS, or PhD in Robotics, Machine Learning, Computer Science, or a related technical field.
• 3+ years of experience developing machine learning systems in industry or research.
• Strong understanding of deep learning and modern policy architectures, including training
• Hands-on experience with RL and at least one additional area such as imitation learning, generative
• Strong Python and PyTorch experience.
• Experience with physics-based simulation environments such as Isaac Lab, Isaac Sim, MuJoCo, or

🎁 Benefits

• Competitive equity: stock options with meaningful upside as we scale.
• 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company
• Private healthcare, including virtual and in-person care.
• Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
• Free daily breakfast, catered lunch, and snacks in-office.
• Work at the frontier - collaborate daily with world-class engineers, researchers, and product