At a Glance
- Tasks: Lead the development of advanced behaviour models for humanoid robotics.
- Company: Cutting-edge robotics company focused on real-world manipulation tasks.
- Benefits: Competitive salary, full-time role, and opportunities for research publication.
- Other info: Collaborative environment with opportunities for career growth and innovation.
- Why this job: Make a real impact by bringing state-of-the-art research into production systems.
- Qualifications: MSc/PhD in ML, Robotics, or Computer Science with strong robot learning experience.
The predicted salary is between 60000 - 80000 € per year.
We are working with a cutting-edge robotics company developing advanced humanoid systems for real-world manipulation tasks. They are seeking a Senior Robot Learning Engineer to lead the development of large behaviour models for complex, bi-manual robotic manipulation.
This role sits at the intersection of robot learning, foundation models, and real-world deployment, offering the opportunity to bring state-of-the-art research into production systems.
The Role
- You will take ownership of scaling and deploying advanced policy architectures across a humanoid robotics platform, working on:
- Large behaviour models (diffusion, transformer-based, VLA/VLM)
- Reinforcement learning and imitation learning pipelines
- Multi-task, language-conditioned manipulation policies
- Sim-to-real transfer and real-world deployment
Key Responsibilities
- Design, train, and deploy end-to-end robot learning models
- Scale diffusion transformer and VLA-based architectures
- Develop generalisable, multi-task manipulation policies
- Advance RL pipelines for fine-tuning beyond imitation learning
- Build sim-to-real transfer workflows
- Collaborate across perception, MLOps, and robotics teams
- Contribute to research direction and publish at top-tier venues
Requirements
- MSc/PhD in ML, Robotics, Computer Science or similar
- Strong experience in robot learning for real-world systems
- Expertise in at least two of:
- Behaviour cloning
- Diffusion models
- Reinforcement learning
- Vision-language-action models
- Strong PyTorch and distributed training experience
- Proven research or applied impact (publications, systems, OSS)
Nice to Have
- Humanoid or bi-manual manipulation experience
- Sim-to-real experience (MuJoCo, Isaac Sim, etc.)
- Experience with CLIP, DINOv2, or similar models
- RL fine-tuning techniques (residual RL, DPPO, etc.)
Robotics Learning Engineer in Bristol employer: OpenSourced Ltd
Join a pioneering robotics company in Bristol, where innovation meets real-world application. As a Senior Robot Learning Engineer, you'll thrive in a collaborative environment that fosters creativity and professional growth, while working on cutting-edge humanoid systems. Enjoy competitive salaries, a supportive work culture, and the chance to contribute to groundbreaking research that shapes the future of robotics.
StudySmarter Expert Advice🤫
We think this is how you could land Robotics Learning Engineer in Bristol
✨Tip Number 1
Network like a pro! Reach out to people in the robotics field on LinkedIn or at industry events. We can’t stress enough how important it is to make connections; you never know who might help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to robot learning and manipulation. We love seeing practical applications of your work, so make sure to highlight any relevant experience.
✨Tip Number 3
Prepare for interviews by brushing up on key concepts in reinforcement learning and behaviour models. We recommend practising common interview questions and even doing mock interviews with friends to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate individuals ready to dive into the world of robotics.
We think you need these skills to ace Robotics Learning Engineer in Bristol
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Senior Robot Learning Engineer. Highlight your experience with robot learning, reinforcement learning, and any relevant projects you've worked on. We want to see how your skills align with our cutting-edge robotics work!
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 a perfect fit for our team. Don’t forget to mention specific projects or experiences that relate to the job description.
Showcase Your Research Impact:If you've got publications or have contributed to open-source projects, make sure to include them in your application. We love seeing candidates who have made a real impact in the field, so don’t be shy about sharing your achievements!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our innovative team at StudySmarter!
How to prepare for a job interview at OpenSourced Ltd
✨Know Your Models
Make sure you brush up on the latest in behaviour models, especially diffusion and transformer-based architectures. Be ready to discuss how you've applied these in real-world scenarios, as this will show your depth of knowledge and practical experience.
✨Showcase Your Projects
Prepare to talk about specific projects where you've designed, trained, or deployed robot learning models. Highlight any challenges you faced and how you overcame them, particularly in sim-to-real transfer workflows. This will demonstrate your problem-solving skills and hands-on experience.
✨Collaboration is Key
Since the role involves working with various teams, be prepared to discuss your experience collaborating across different domains like perception and MLOps. Share examples of how you’ve successfully worked in a team setting to achieve common goals.
✨Stay Current with Research
Familiarise yourself with recent publications in the field of robotics and machine learning. Being able to reference cutting-edge research during your interview will not only impress your interviewers but also show your commitment to staying at the forefront of the industry.
