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Machine Learning Scientist Robotics Manipulation

Cubiq Recruitment
Posted 2 days ago, valid for a month
Location

London, Greater London EC1V, England

Salary

£100,000 per annum

Contract type

Full Time

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Sonic Summary

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  • The position is for a Machine Learning Scientist specializing in Robotics Manipulation, with remote work initially and future on-site presence required in London or Bristol.
  • The role offers a competitive salary along with equity options.
  • Candidates should have a Master's degree or higher in Machine Learning, Robotics, or a related field, and experience in reinforcement learning, imitation learning, and behavioral cloning.
  • Hands-on experience with real-world robotic platforms and proficiency in Python, TensorFlow, and PyTorch are also required.
  • This opportunity involves developing algorithms for dexterous manipulation and transforming research into production-ready solutions for advanced robotic tasks.

Machine Learning Scientist Robotics Manipulation

Location: Remote initially, with future on-site presence required in London or Bristol.
Salary: Competitive, plus equity options.

About the Role
Join a fast-growing, well-funded robotics company thats redefining autonomous systems to perform complex, human-like tasks. This is a unique opportunity to work at the cutting edge of robotics, driving forward innovations in robotic manipulation, dexterous control, and autonomous grasping.

The company is developing multi-tasking, grasping robots designed to navigate, handle tools, and perform intricate, dexterous tasks with human-like precision. Backed by seasoned founders with a track record of high-value ventures, this team is set to be a major player in the future of robotics.

The Role
As a Machine Learning Scientist, youll play a key role in developing and refining the algorithms that drive dexterous manipulation. The focus is on techniques like reinforcement learning, imitation learning, and behavioural cloning to enable robots to perform advanced grasping, control, and multi-tasking. Youll be instrumental in taking concepts from research to real-world deployment on robotic platforms.

Key Responsibilities

  • Design and implement ML models for robotic manipulation with a specific focus on hands and fingers.
  • Apply techniques in reinforcement learning, imitation learning, and behavioural cloning to solve dexterous manipulation tasks.
  • Conduct experiments and improve robot dexterity and adaptability.
  • Transform research into production-ready solutions for real-world robotics platforms.
  • Work hands-on with robotic platforms to test and deploy solutions in dynamic, human-like environments.

Requirements

  • Masters degree or higher in Machine Learning, Robotics, or a related field.
  • Experience in reinforcement learning, imitation learning, and behavioural cloning.
  • Demonstrated experience developing robotic manipulation capabilities, especially in grasping and control for hands and fingers.
  • Hands-on experience with real-world robotic platforms.
  • Proficiency in Python, TensorFlow, PyTorch, and automation frameworks.

Why Join?

  • Innovative Projects: Be at the forefront of robotics technology, working on world-first capabilities for autonomous manipulation.
  • Industry Experts: Collaborate with top talent and industry veterans known for building successful, high-value ventures.
  • Rewarding Package: Competitive salary, equity options, and growth potential as the company scales.

This is a rare chance to join a company thats shaping the future of robotics and autonomy. If you have experience with dexterous manipulation, grasping control, and reinforcement learning, we want to hear from you.

Apply today to be part of the future of robotics.

Apply now in a few quick clicks

In order to submit this application, a TotalJobs account will be created for you. As such, in addition to applying for this job, you will be signed up to all TotalJobs’ services as part of the process. By submitting this application, you agree to TotalJobs’ Terms and Conditions and acknowledge that your personal data will be transferred to TotalJobs and processed by them in accordance with their Privacy Policy.