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Member of Technical Staff; Robotics Research Lead

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Reka AI
Full Time position
Listed on 2026-06-02
Job specializations:
  • Research/Development
    Robotics
  • Engineering
    Robotics, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Member of Technical Staff (Robotics Research Lead)
Location: Greater London

Our lab sits at the intersection of world models, video generation, and robotics, building systems that represent complex environments, reason about objects and dynamics, and translate high-level AI intentions into smooth, efficient, safe, and responsive actions across a variety of robotic embodiments.

What You’ll Do:
  • Lead the design and execution of our AI’s robotics research agenda
  • Recruit, mentor, and manage a small team of research scientists and engineers in our London lab
  • Collaborate with the world model and simulation teams to develop state-of-the-art training platforms for robotics
  • Guide the creation of persistent 3D/4D scene representations and advanced embodied AI methodologies
  • Drive research efforts in scene understanding, sim-to-real transfer, and advanced planning
  • Foster partnerships with leading ML researchers, hardware specialists, and external collaborators
  • Help establish the lab's technical culture and external reputation
Areas of Interest:
  • World models for embodied systems
  • 3D/4D generative models
  • Scene reconstruction and understanding
  • Embodied AI
  • Object-level and semantic SLAM
  • Multimodal AI
What We’re Looking For:
  • Strong background in robotics, computer vision, or related areas
  • Experience leading or managing small technical or research teams
  • Hands-on expertise with 3D perception, scene representations, world models, or simulation
  • Excellent programming skills (Python, C++, or similar)
  • Entrepreneurial spirit and excitement about building in a startup or early-stage lab environment
  • Ability to work effectively across machine learning, perception, and robotics disciplines
  • Outstanding communication and team-building skills
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