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- Tasks: Design, train, and deploy multitask manipulation policies for advanced robotics.
- Company: Kinisi Robotics is innovating in dexterous manipulation and robotic learning.
- Benefits: Enjoy a hybrid work model with opportunities for hands-on experience and collaboration.
- Why this job: Join a team shaping the future of robotics in a dynamic, supportive environment.
- Qualifications: M.S. in CS, ML, Robotics; experience with control policies and modern ML stacks required.
- Other info: Work closely with engineers to integrate your solutions into real-world applications.
The predicted salary is between 48000 - 72000 £ 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 machine learning and robotics. Follow relevant research papers, attend webinars, and engage with online communities to stay updated on cutting-edge techniques that could be beneficial for the role.
✨Tip Number 2
Network with professionals in the field of robotics and machine learning. Attend industry conferences or local meetups to connect with people who work at Kinisi or similar companies. Building relationships can often lead to valuable insights and potential referrals.
✨Tip Number 3
Showcase your hands-on experience with training control policies by working on personal projects or contributing to open-source initiatives. This practical experience will not only enhance your skills but also demonstrate your passion and commitment to the field.
✨Tip Number 4
Prepare to discuss specific challenges you've faced in previous projects related to bimanual manipulation or ML model deployment. Being able to articulate your problem-solving process and technical decisions will set you apart during interviews.
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 manipulation technologies. Mention specific projects or experiences that align with Kinisi's goals and how you can contribute to their team.
Showcase Your Technical Skills: Include examples of your work with modern ML stacks and model architectures. If possible, provide links to any relevant projects or code repositories that demonstrate your capabilities.
Highlight Problem-Solving Abilities: Discuss instances where you've diagnosed and resolved complex issues in your previous roles. This will showcase your analytical skills and ability to troubleshoot effectively, which is crucial for 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 Kinisi's Work
Research Kinisi Robotics and their approach to dexterous manipulation. Understanding their technology and recent projects will allow you to ask insightful questions and demonstrate your genuine interest in the role.
✨Prepare for Collaborative Discussions
Since the role involves working closely with platform engineers and leading design reviews, practice articulating your ideas clearly. Be ready to discuss how you would integrate your work with others and contribute to a team-oriented environment.
