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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 passionate team.
- Why this job: Join us to shape the future of robotics in a dynamic, hands-on environment.
- Qualifications: M.S. in CS, ML, Robotics or related field; experience with control policies required.
- Other info: Be part of a project that’s set to revolutionise industrial automation.
The predicted salary is between 42000 - 84000 £ 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.
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 demonstrate your passion and knowledge, making you a standout candidate.
✨Tip Number 2
Showcase your hands-on experience with training control policies by preparing specific examples of projects you've worked on. Be ready to explain the challenges you faced and how you overcame them, as this will highlight your problem-solving skills.
✨Tip Number 3
Brush up on your Python and C++ coding skills, as well as best practices for writing maintainable code. You might be asked to solve coding problems or discuss your coding philosophy, so being prepared can give you an edge.
✨Tip Number 4
Network with professionals in the robotics and machine learning fields. Attend relevant meetups or conferences, and connect with people on platforms like LinkedIn. This can provide valuable insights into the industry and potentially lead to referrals.
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 that demonstrate your ability to train and deploy models.
Craft a Compelling Cover Letter: In your cover letter, express your passion for robotics and manipulation technologies. Mention specific projects or experiences that align with Kinisi's goals and how you can contribute to their team.
Showcase Technical Skills: Clearly outline your proficiency in Python and C++, as well as your experience with modern ML stacks. Provide examples of past work where you’ve successfully implemented behaviour-cloning or generative-model techniques.
Highlight Problem-Solving Abilities: Demonstrate your analytical skills by discussing challenges you've faced in previous roles, particularly those related to diagnosing runtime issues or deploying models. This will show your capability to handle the technical demands of the position.
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 to face technical challenges during the interview. Be ready to walk through your thought process on diagnosing runtime issues or debugging models. This will showcase your analytical instincts and hands-on experience.
✨Familiarise Yourself with Their Technology Stack
Research Kinisi's existing technologies and platforms. Understanding their software architecture and how your skills can integrate with their systems will demonstrate your genuine interest and preparedness for the role.
✨Prepare Questions About Team Dynamics
Since this role involves collaboration with various teams, prepare insightful questions about the team structure and dynamics. This shows that you value teamwork and are keen to contribute positively to their collaborative environment.
