Member of Technical Staff, Robotics Research Lead

Reka
Charing Cross, United Kingdom
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 45K

Job location

Charing Cross, United Kingdom

Tech stack

Artificial Intelligence
Computer Vision
C++
Computer Programming
Python
Machine Learning

Job description

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: We are especially interested in candidates excited to work on:

  • World models for embodied systems
  • 3D/4D generative models
  • Scene reconstruction and understanding
  • Embodied AI
  • Object-level and semantic SLAM
  • Multimodal AI

Requirements

  • 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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