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- Tasks: Design, train, and deploy multitask manipulation policies for Kinisi robots.
- Company: Kinisi Robotics is pioneering the future of industrial automation with innovative robotic solutions.
- Benefits: Enjoy hybrid work options, competitive salary, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and make a real impact in robotics and automation.
- Qualifications: Degree in CS, ML, Robotics or related field; hands-on experience with ML and robotics required.
- Other info: This is a permanent, full-time role based in Bristol, UK.
The predicted salary is between 36000 - 60000 £ per year.
Location: Bristol, UK | Hybrid (primarily on-site)
Employment Type: Full-time, Permanent
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 a Large-Behaviour Models Engineer, you’ll help design, train and ship the next generation of multitask manipulation policies.
- 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.
- Own deployment: Bring your models onto Kinisi hardware, debug in the loop and iterate until performance shines.
Requirements:
- Degree (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.
You’ll contribute to a product that’s heading to market and help shape the future of industrial automation.
Research Engineer (Permanent) employer: Kinisi Robotics
Contact Detail:
Kinisi Robotics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer (Permanent)
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning and robotics. Follow relevant research papers and industry news to understand the current trends and challenges in large-behaviour models, as this knowledge will help you stand out during discussions.
✨Tip Number 2
Engage with the Kinisi Robotics community on platforms like LinkedIn or GitHub. Networking with current employees or contributors can provide insights into the company culture and expectations, which can be invaluable during your interview.
✨Tip Number 3
Prepare to discuss your hands-on experience with training control policies. Be ready to share specific examples of projects you've worked on, particularly those involving Python or C++, as practical experience is crucial for this role.
✨Tip Number 4
Showcase your problem-solving skills by thinking through potential challenges in deploying models on hardware. Consider how you would approach debugging and iterating on performance, as demonstrating this mindset can impress the hiring team.
We think you need these skills to ace Research Engineer (Permanent)
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly understand the responsibilities of a Large-Behaviour Models Research Engineer. Familiarise yourself with the specific skills required, such as experience in ML, robotics, and programming languages like Python and C++.
Tailor Your CV: Customise your CV to highlight relevant experience in machine learning, robotics, and software development. Include specific projects or roles where you have successfully implemented behaviour-cloning or generative-model techniques.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for robotics and your understanding of the company's mission. Mention how your skills align with their needs and provide examples of your hands-on experience with training control policies.
Proofread and Edit: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. Ensure that your writing is clear and professional, as this reflects your attention to detail and communication skills.
How to prepare for a job interview at Kinisi Robotics
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and C++. Highlight specific projects where you've implemented machine learning models or worked on robotics. This is your chance to demonstrate your technical prowess and how it aligns with the role.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your problem-solving skills, especially in relation to bimanual manipulation challenges. Prepare examples of how you've tackled complex issues in past projects, focusing on your thought process and the solutions you devised.
✨Familiarise Yourself with Kinisi's Work
Research Kinisi Robotics and their approach to large-behaviour models. Understanding their products and methodologies will not only show your interest but also allow you to ask insightful questions during the interview.
✨Prepare for Hands-On Assessments
Since the role involves deploying models onto hardware, be ready for practical assessments. Brush up on your debugging skills and be prepared to discuss how you would iterate on model performance in a real-world setting.
