Member of Technical Staff (Robotics)
Level inferred from job title
Job description
A robotics-focused role at an AI research lab, building training and simulation platforms and 3D/4D world representations to enable planning and decision-making for embodied systems. The role works closely with ML researchers and hardware teams to make models perform reliably in real-world robotic operations.
At a glance
- Work mode
- Remote · UK
What you'll do
- Collaborate with the world model team to build state-of-the-art training and simulation platform for robotics
- Develop persistent 3D/4D scene representations that maintain temporal consistency
- Unlock advanced robotics planning and decision making through in-house, cutting-edge world models
- Ensure sensing and system dynamics perform reliably in high-stakes, real-world operations, where models think, simulate, and act
- Partner with top ML researchers to innovate on generative models and physical AGI
What we're looking for
- Background in robotics, or computer vision
- Experience with 3D perception, scene representations, or world models
- Experience working with robotic systems, simulation, or real-world platforms
- Strong programming skills (Python, C++, or similar)
- Located in London or willing to relocate to London, UK
- Ability to work across machine learning, perception, and robotics
Benefits
- 5 weeks of paid leave
- Comprehensive healthcare benefits including vision and dental
- Additional perks that support well-being
- Visa assistance for UK employees
Apply
Direct apply at Reka
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About Reka
An AI research lab building foundational intelligence for the physical world
A globally distributed foundation model startup working 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 actions across robotic embodiments.
Mission
To build useful multimodal artificial intelligence and use it to empower organisations and businesses
Key facts
- San Francisco Bay Area, California
- AI research
- Globally distributed foundation model startup
- Remote-first approach
- Founding team and many team members contributed to many of the breakthroughs in AI over the past decade
- Team members come from organizations like Google DeepMind and Facebook AI Research (FAIR)
What they value
- Inclusive and open culture
- Mission-driven