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- Tasks: Lead the development of advanced robot learning models and deploy them on real robotic systems.
- Company: Join a pioneering robotics organisation at the forefront of humanoid technology.
- Benefits: Competitive salary, research publication opportunities, and career progression in a booming sector.
- Other info: Dynamic environment with opportunities for innovation and growth.
- Why this job: Make a real impact in robotics while working with cutting-edge technology and a collaborative team.
- Qualifications: MSc or PhD in Machine Learning or Robotics, with strong experience in robot learning.
The predicted salary is between 45000 - 55000 £ per year.
An exciting opportunity has arisen for a Senior Robot Learning Engineer to join an advanced robotics organisation developing next-generation humanoid systems.
You will lead the development of large-scale behaviour models for robotic manipulation, bridging cutting-edge machine learning research with real-world deployment.
Key Responsibilities- Architect and train large-scale robot learning models
- Develop diffusion transformer and VLA-based policies
- Advance reinforcement learning pipelines
- Deliver generalisable multi-task manipulation systems
- Build sim-to-real transfer capabilities
- Deploy policies onto physical robotic systems
- MSc or PhD in Machine Learning, Robotics, or similar
- Strong experience in robot learning and real-world deployment
- Expertise in reinforcement learning, diffusion models, or behaviour cloning
- Strong Python and PyTorch experience
- Experience with large-scale model training
- Experience with humanoid robotics
- Sim-to-real pipelines (MuJoCo, Isaac Sim)
- Vision-language models (CLIP, DINOv2)
- Published research or equivalent practical impact
- Work on cutting-edge robotics technology
- Opportunity to publish research
- Collaborative, high-performing team
- Career progression in a fast-growing sector
Robotics Engineer in Bath employer: OpenSourced - Search & Selection
Contact Detail:
OpenSourced - Search & Selection Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Robotics Engineer in Bath
✨Tip Number 1
Network like a pro! Reach out to people in the robotics field, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving robot learning and reinforcement learning. This will give potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and PyTorch skills. Practice coding challenges and be ready to discuss your experience with large-scale model training and sim-to-real pipelines.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Robotics Engineer in Bath
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in robot learning and real-world deployment. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in reinforcement learning and large-scale model training!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about robotics and how your background makes you the perfect fit for our team. We love seeing enthusiasm and a clear connection to the role.
Showcase Relevant Projects: If you've worked on any projects related to humanoid robotics or sim-to-real pipelines, make sure to mention them! We’re keen to see practical examples of your work, especially if they involve Python and PyTorch.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come through our own channels!
How to prepare for a job interview at OpenSourced - Search & Selection
✨Know Your Stuff
Make sure you brush up on the latest advancements in robotics and machine learning. Familiarise yourself with large-scale behaviour models, reinforcement learning, and any specific technologies mentioned in the job description, like diffusion transformers and PyTorch.
✨Showcase Your Projects
Prepare to discuss your previous work in robot learning and real-world deployment. Bring examples of projects where you've developed or trained models, especially if they relate to humanoid robotics or sim-to-real pipelines. This will demonstrate your hands-on experience.
✨Ask Smart Questions
Interviews are a two-way street! Prepare insightful questions about the company's current projects, their approach to multi-task manipulation systems, or how they integrate research into practical applications. This shows your genuine interest and helps you gauge if it's the right fit for you.
✨Practice Problem-Solving
Be ready for technical questions or case studies that test your problem-solving skills. Practise explaining your thought process clearly and concisely, especially when it comes to complex topics like sim-to-real transfer capabilities or behaviour cloning.