Robotics Applied Research Lead

📋 Description

• Set the technical direction: Define a focused research and engineering roadmap. Select a small
• Own Transformer research and engineering: Design, adapt, train, and evaluate Transformer-based
• Connect models to data strategy: Define the data needed to train and evaluate the selected models.
• Own evaluation: Establish offline and real-world evaluation systems, baselines, held-out
• Move work onto physical systems: Take projects from problem definition through training, hardware
• Build a small technical team: Recruit a few complementary researchers and engineers. Lead

🎯 Requirements

• Deep, direct Transformer expertise: You must have personally made material architecture or training
• Physical AI or embodied-system experience: Worked on machine learning for a system that perceives
• Hands-on technical ability: Write and review high-quality Python. Work directly with PyTorch or
• Technical leadership: Set direction for important technical work and taken a result into deployment.
• Evaluation, communication, and judgment: Design held-out tests, run controlled comparisons, report
• Strong preference - Computer Vision: Combine deep expertise in Transformer architectures with

🎁 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 with world-class engineers, researchers, and product experts.