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For Companies At a Glance
- Tasks: Design, train, and deploy advanced manipulation models for robots.
- Company: Kinisi Robotics is innovating in dexterous robot manipulation.
- Benefits: Enjoy a hybrid work model and collaborate with a dynamic team.
- Why this job: Be at the forefront of robotics, shaping the future of automation.
- Qualifications: M.S. in CS, ML, or Robotics; hands-on experience required.
- Other info: Join a passionate team and make a real impact in technology.
The predicted salary is between 36000 - 60000 £ per year.
Location: Bristol, UK | Hybrid (primarily on-site)
Team: Manipulation & Robot Learning Team
Employment Type: Full-time, Permanent
About the Role
Kinisi is pushing the frontier of dexterous, whole-body manipulation. By fusing large-scale demonstration data - from teleoperation, human demos and the open web - we teach Kinisi robots to solve new tasks from just a handful of examples. As an Large-Behaviour Models Engineer, you’ll help design, train and ship the next generation of multitask manipulation policies.
What You’ll Do
- Invent & apply ML – Turn cutting-edge behaviour-cloning and generative-model ideas into practical solutions for real, bimanual manipulation challenges.
- Build great software – Craft well-documented, tested and maintainable Python / C++ code that the whole team can rely on.
- Drive technical direction – Lead design reviews and partner closely with Kinisi-platform engineers to integrate your work end-to-end.
- Own deployment – Bring your models onto Kinisi hardware, debug in the loop and iterate until performance shines.
Qualifications
- M.S. (or higher) in CS, ML, Robotics or a related field.
- Hands-on experience training and rolling out learned control policies - either on robots or complex simulated agents.
- Fluency with modern ML stacks, model architectures and experiment workflows.
- Sharp analytical instincts and a knack for diagnosing tricky runtime issues.
Why Join Us?
This is an opportunity to work on cutting-edge robotic systems in a collaborative, hands-on environment. You’ll contribute to a product that’s heading to market and help shape the future of industrial automation.
Locations
Large Behaviour Models Research Engineer employer: Kinisi Robotics
Contact Detail:
Kinisi Robotics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Large Behaviour Models Research Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in behaviour cloning and generative models. Being able to discuss recent research or breakthroughs in these areas during your interview will show your passion and expertise.
✨Tip Number 2
Prepare to demonstrate your coding skills in Python and C++. Consider working on a small project that showcases your ability to write clean, maintainable code, as this could be a topic of discussion during technical interviews.
✨Tip Number 3
Network with professionals in the robotics and machine learning fields. Attend relevant meetups or conferences where you can connect with people from Kinisi or similar companies, as personal connections can often lead to job opportunities.
✨Tip Number 4
Be ready to discuss your hands-on experience with training control policies. Prepare specific examples of challenges you've faced and how you overcame them, as this will highlight your practical knowledge and problem-solving skills.
We think you need these skills to ace Large Behaviour Models Research Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, robotics, and software development. Emphasise any hands-on projects or roles where you've trained control policies or worked with Python/C++.
Craft a Compelling Cover Letter: In your cover letter, express your passion for robotics and how your skills align with the role. Mention specific projects or experiences that demonstrate your ability to tackle bimanual manipulation challenges.
Showcase Your Technical Skills: Include a section in your application that details your proficiency with modern ML stacks and model architectures. If you have experience debugging runtime issues, be sure to highlight that as well.
Prepare for Technical Questions: Anticipate technical questions related to machine learning and robotics during the interview process. Brush up on your knowledge of behaviour-cloning and generative models, as these are key aspects of the role.
How to prepare for a job interview at Kinisi Robotics
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning, particularly in behaviour cloning and generative models. Highlight specific projects where you've applied these techniques, especially in the context of robotics or complex simulations.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your analytical skills and how you approach diagnosing runtime issues. Prepare examples of challenges you've faced in previous roles and how you resolved them, particularly in relation to deploying models on hardware.
✨Familiarise Yourself with Kinisi's Work
Research Kinisi Robotics and their current projects, especially in dexterous manipulation. Understanding their technology and goals will allow you to tailor your responses and show genuine interest in contributing to their mission.
✨Prepare for Collaborative Discussions
Since the role involves working closely with platform engineers and leading design reviews, be ready to discuss your experience in collaborative environments. Share examples of how you've successfully worked in teams to drive technical direction and integrate solutions.
