Senior Staff Engineer, Robotics & Embodied AI

Reka AI

Greater London

On-site

GBP 90,000 - 130,000

Full time

14 days+
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Benefits offered by this job

5 weeks paid leave
Healthcare (vision & dental)
Visa support

Job summary

Reka AI is an AI research lab building foundational intelligence for the physical world. They work at the intersection of world models, robotics, and multimodal AI to translate high-level AI intentions into actions across robotic embodiments.

The team collaborates with ML researchers and hardware partners to ensure robotic platforms and system dynamics operate safely in real-world settings. London-based or relocation supported for eligible candidates.

Qualifications

  • 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.

Responsibilities

  • Build the Foundation: Collaborate with our world model team to build state-of-the-art training and simulation platform for robotics.
  • Build the World: Develop persistent 3D/4D scene representations that maintain temporal consistency.
  • Drive Intelligence: Unlock advanced robotics planning and decision making through our in-house world models.
  • Sim2Real: Ensure sensing and system dynamics perform reliably in real-world operations, where models think, simulate, and act.
  • Push Boundaries: Partner with top ML researchers to innovate on generative models and physical AGI.

Skills

Robotics
3D perception
World models
Python
C++
ROS

Tools

Simulation
Robotics platforms

Job description

Reka AI is an AI research lab building foundational intelligence for the physical world. They work at the intersection of world models, robotics, and multimodal AI to translate high-level AI intentions into actions across robotic embodiments.

The team collaborates with ML researchers and hardware partners to ensure robotic platforms and system dynamics operate safely in real-world settings. London-based or relocation supported for eligible candidates.

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