ML Research Scientist - World Models for Navigation in Cambridge

ML Research Scientist - World Models for Navigation in Cambridge

Cambridge Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Advance image and video generation for world model navigation and planning.
  • Company: Join microTECH Global LTD, a leader in innovative AI research.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on real-world applications and impact.
  • Why this job: Be part of a cutting-edge team making waves in AI and PhysicalAI.
  • Qualifications: Experience in machine learning and a passion for research and innovation.

The predicted salary is between 63000 - 77000 Β£ per year.

micro TECH Global LTD in the United Kingdom is seeking a researcher to advance image and video generation for world model navigation, interaction and planning.

You'd be joining a research team that focuses on commercialization and demos with end-to-end ownership.

The team has a track record across audio, image and video generation, on-device and server deployments, with publications in ICML/CVPR/ICCV.

  • We are expanding into Physical AI and world models for navigation and planning, seeking
  • #J-18808-Ljbffr

ML Research Scientist - World Models for Navigation in Cambridge employer: microTECH Global LTD

Microtech Global Ltd is an exceptional employer, offering a vibrant work culture in the heart of Cambridge, UK, where innovation thrives. Employees benefit from engaging in pioneering projects like OpenTitan and Ibex RISC-V CPU, alongside opportunities for professional growth and collaboration with industry leaders. With a focus on cutting-edge technology and a supportive environment, this role is perfect for those seeking meaningful and rewarding employment in digital design verification.

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Contact Details:

microTECH Global LTD Recruitment Team

We think you need these skills to ace ML Research Scientist - World Models for Navigation in Cambridge

Image Generation
Video Generation
World Models
Navigation Algorithms
Interaction Design
Planning Techniques
Research Skills