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- Tasks: Lead the development of advanced robot learning models and deploy them on real-world 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: Collaborative team environment with opportunities for growth and innovation.
- Why this job: Make a tangible impact in robotics while working with cutting-edge technology.
- 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 Bristol 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 Bristol
✨Tip Number 1
Network like a pro! Reach out to people in the robotics field, attend meetups or webinars, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to 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 interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with Python, PyTorch, and any large-scale model training you've done. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Robotics Engineer in Bristol
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 from our team. Let’s get started on this exciting journey together!
How to prepare for a job interview at OpenSourced - Search & Selection
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning and robotics. Be ready to discuss your experience with reinforcement learning, diffusion models, and any large-scale model training you've done. The more specific examples you can provide, the better!
✨Showcase Your Projects
Prepare to talk about your previous projects, especially those involving sim-to-real transfer capabilities or humanoid robotics. Bring along any relevant research papers or code samples that demonstrate your expertise in Python and PyTorch.
✨Ask Smart Questions
Interviews are a two-way street! Prepare insightful questions about the company's current projects, their approach to robot learning, and how they see the future of humanoid systems. This shows your genuine interest and helps you gauge if it's the right fit for you.
✨Practice Makes Perfect
Consider doing mock interviews with friends or colleagues. Focus on articulating your thoughts clearly and confidently, especially when discussing complex topics like behaviour models and multi-task manipulation systems. The more comfortable you are, the better you'll perform!