At a Glance
- Tasks: Lead the development of advanced behaviour models for humanoid robots.
- 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 a focus on innovation and career growth.
- Why this job: Join a pioneering team and turn state-of-the-art research into real-world applications.
- 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.)
Apply Now
Robotics Learning Engineer in Bristol employer: American Society of Civil Engineers
Join a pioneering robotics company in Bristol, where innovation meets real-world application. As a Senior Robot Learning Engineer, you will 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.
Contact Detail:
American Society of Civil Engineers Recruiting Team
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. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to robot learning and manipulation. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common questions and scenarios related to reinforcement learning and behaviour models.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our cutting-edge team. It’s a great way to stand out!
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 large behaviour models and real-world deployment.
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 tangible impact in the field of machine learning and robotics, 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 for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company and what we do!
How to prepare for a job interview at American Society of Civil Engineers
✨Know Your Stuff
Make sure you brush up on the latest advancements in robot learning and behaviour models. Familiarise yourself with key concepts like reinforcement learning, diffusion models, and multi-task manipulation policies. Being able to discuss these topics confidently will show that you're not just a candidate, but a passionate expert.
✨Showcase Your Experience
Prepare to talk about your previous projects and how they relate to the role. Highlight any experience you have with sim-to-real transfer workflows or working with humanoid robots. Use specific examples to demonstrate your skills in PyTorch and distributed training, as this will resonate well with the interviewers.
✨Collaborate and Communicate
Since this role involves collaboration across various teams, be ready to discuss how you've worked with others in the past. Share examples of successful teamwork, especially in cross-disciplinary settings. This will illustrate your ability to contribute to research direction and engage with different perspectives.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects and future directions in robotics. Inquire about their current challenges in deploying large behaviour models or how they envision the evolution of humanoid systems. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
