Machine Learning Research Scientist

Understanding Recruitment

Greater London

On-site

GBP 65,000 - 95,000

Full time

14 days+
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Benefits offered by this job

Equity

Job summary

Understanding Recruitment is seeking a Machine Learning Research Scientist for an early-stage UK startup at the intersection of machine learning and robotics. This highly research-driven role focuses on advancing robot learning, vision-language-action models and world models on real robotic systems.

You will research and develop novel Physical AI approaches, train and evaluate VLAs and world models, explore new architectures and data strategies, and help shape the company's research roadmap

Qualifications

  • Strong research background in machine learning, robotics or computer vision
  • Deep understanding of modern deep learning
  • Experience training and evaluating ML models
  • Strong mathematical and experimental skills
  • Comfortable tackling open-ended research problems
  • Able to take an idea from hypothesis through to rigorous experimentation

Responsibilities

  • Research and develop new approaches to Physical AI
  • Train and evaluate VLAs, world models and robot learning systems
  • Explore new architectures, training techniques and data strategies
  • Investigate how models can generalise across different tasks and environments
  • Turn research ideas into experiments on real robotic hardware
  • Play a major role in shaping the company's research roadmap

Job description

Machine Learning Research Scientist

Build the intelligence that helps robots understand and interact with the physical world.


We’re looking for a Research Scientist to join an early-stage UK startup working at the intersection of machine learning and robotics.


This is a highly research-driven role. You’ll explore new approaches to robot learning, vision-language-action models and world models, with the opportunity to test your ideas on real robotic systems.


The role

  • Research and develop new approaches to Physical AI
  • Train and evaluate VLAs, world models and robot learning systems
  • Explore new architectures, training techniques and data strategies
  • Investigate how models can generalise across different tasks and environments
  • Turn research ideas into experiments on real robotic hardware
  • Play a major role in shaping the company's research roadmap

About you

  • Strong research background in machine learning, robotics or computer vision
  • Deep understanding of modern deep learning
  • Experience training and evaluating ML models
  • Strong mathematical and experimental skills
  • Comfortable tackling open-ended research problems
  • Able to take an idea from hypothesis through to rigorous experimentation

Why this role?

  • Join at an early/founding stage with meaningful equity
  • Work on some of the hardest problems in robotics and Physical AI
  • Test your research on real-world robotic systems
  • Significant freedom to explore new ideas
  • Help shape the research direction from an early stage
  • Work alongside a small, highly technical team
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