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Reka

Develops and deploys large AI models

Member of Technical Staff - Robotics

Robotics & Autonomous SystemsConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • A background in robotics or computer vision is required.
  • Experience with 3D perception, scene representations, or world models is required.
  • Experience working with robotic systems, simulation, or real-world platforms is required.
  • Strong programming skills in Python, C++, or a similar language are required.
  • Candidates must be located in London or willing to relocate to London, UK.
  • Ability to work across machine learning, perception, and robotics is required.

Responsibilities

  • Collaborate with the world model team to build a state-of-the-art training and simulation platform for robotics.
  • Develop persistent 3D/4D scene representations that maintain temporal consistency.
  • Advance robotics planning and decision making through in-house world models.
  • Ensure sensing and system dynamics perform reliably in high-stakes, real-world operations where models think, simulate, and act.
  • Partner with machine learning researchers to innovate on generative models and physical artificial general intelligence.

Desired Qualifications

  • Experience or interest in world models for embodied systems.
  • Experience or interest in 3D/4D generative models.
  • Experience or interest in robotics manipulation.
  • Experience or interest in embodied artificial intelligence.
  • Experience or interest in multimodal artificial intelligence.

About the Company

Reka

Develops and deploys large AI models

Reka.ai develops and delivers AI solutions built on large deep learning models, handling the full development cycle from data preparation and architecture design to training, evaluation, and deployment, with a focus on data synthesis. Its offerings are bespoke to client needs, delivered through project-based work or subscriptions that grant ongoing access and support. The team blends researchers with former DeepMind personnel, providing an end-to-end pipeline and advisory input from both industry and academia. The goal is to make the benefits of large AI models globally accessible by delivering practical deployed solutions and ongoing assistance.

Company size
51-200
Company stage
Late Stage VC
Total funding
$168M
Headquarters
Sunnyvale, CA
Founded
2022

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