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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 growth in a booming industry.
- Other info: Collaborative team environment with opportunities for rapid career advancement.
- 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 Python and PyTorch skills.
The predicted salary is between 50000 - 65000 £ 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
Skills & Experience Required
- 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
Desirable Skills
- Experience with humanoid robotics
- Sim-to-real pipelines (MuJoCo, Isaac Sim)
- Vision-language models (CLIP, DINOv2)
- Published research or equivalent practical impact
Benefits
- Work on cutting-edge robotics technology
- Opportunity to publish research
- Collaborative, high-performing team
- Career progression in a fast-growing sector
Apply Now
Robotics Engineer in Newport 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 Newport
✨Tip Number 1
Network like a pro! Reach out to people in the robotics field on LinkedIn or at local meetups. 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 related to robot learning and reinforcement learning. This will give potential employers a taste of what you can do.
✨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 deployment.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Robotics Engineer in Newport
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!
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. Familiarise yourself with the latest advancements in reinforcement learning and diffusion models, as well as any relevant projects you've worked on. This will help you speak confidently about your expertise during the interview.
✨Showcase Your Projects
Prepare to discuss specific projects where you've developed large-scale behaviour models or worked with sim-to-real transfer capabilities. Be ready to explain your role, the challenges you faced, and how you overcame them. Real-world examples will make your experience more tangible and impressive.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's current projects, their approach to robot learning, and how they envision the future of humanoid robotics. This shows your genuine interest and helps you assess if the company is the right fit for you.
✨Practice Makes Perfect
Conduct mock interviews with friends or colleagues to get comfortable with articulating your thoughts. Focus on explaining complex concepts in simple terms, as you may need to do this with non-technical interviewers. The more you practice, the more confident you'll feel on the day!