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- Tasks: Lead the development of advanced behaviour models for cutting-edge robotic manipulation.
- Company: Exciting scale-up in robotics with a focus on innovation and real-world applications.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a dynamic team ready to push the boundaries of technology.
- Why this job: Make a tangible impact in robotics by deploying your work on real hardware.
- Qualifications: Experience in reinforcement learning and a passion for robotics.
The predicted salary is between 70000 - 90000 £ per year.
You will architect, train, and deploy end-to-end large behaviour models for bi-manual and mobile manipulation, and lead the maturing of the early-stage RL pipeline. This robot learning role is with a seriously exciting scale up. The platform is mature, the data is flowing, and the team is ready to scale its most promising research directions into production-grade manipulation policies. They need someone to lead the development and deployment of large behaviour models, taking diffusion transformers, VLAs, and language-conditioned policies from the literature onto a real bi-manual humanoid. This is not a research-only role. You will inherit a mature policy training codebase, a VR teleoperation pipeline producing high-frequency multi-modal data, and a Gymnasium environment wrapping a real robot. The work you ship runs on hardware.
Key responsibilities:
- Architect, train, and evaluate end-to-end large behaviour models for bi-manual and mobile manipulation.
- Advance diffusion transformer policies, mature VLA integration, and develop language conditioning for true multi-task generalisation.
- Apply RL to refine pre-trained policies: RL token fine-tuning, residual RL, off-policy RL with reference-action regularisation, RL-based fine-tuning of diffusion policies.
- Build a systematic sim-to-real.
Senior Robot Learning Engineer in London employer: Wave Recruitment
Contact Detail:
Wave Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Robot Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can 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 want to see your work in action, so make sure it’s easily accessible and highlights your best achievements.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practising common interview questions related to RL and behaviour models. The more prepared you are, the more confident you’ll feel when it’s time to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us. Let’s get you on board!
We think you need these skills to ace Senior Robot Learning Engineer in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with large behaviour models and reinforcement learning in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your achievements!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention the technologies and methodologies from the job description that you’re familiar with, like diffusion transformers and language conditioning. It’ll show us you’re genuinely interested!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s relevant. Make it easy for us to see why you’re the perfect fit for the Senior Robot Learning Engineer position.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Wave Recruitment
✨Know Your Stuff
Make sure you’re well-versed in the latest advancements in robot learning, especially around diffusion transformers and reinforcement learning. Brush up on your understanding of bi-manual manipulation and how to apply RL techniques effectively. This will show that you’re not just familiar with the theory but can also discuss practical applications.
✨Showcase Your Experience
Prepare to talk about your previous projects where you've architected or deployed behaviour models. Be ready to share specific examples of how you’ve tackled challenges in similar roles, particularly with multi-modal data and real hardware. This will help demonstrate your hands-on experience and problem-solving skills.
✨Ask Insightful Questions
Come prepared with questions that show your interest in the company’s direction and the role itself. Inquire about their current projects involving VR teleoperation or how they plan to scale their research into production-grade policies. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
✨Be Ready for Technical Challenges
Expect to face some technical questions or even a coding challenge related to RL or behaviour model deployment. Practise common algorithms and be prepared to discuss your thought process. This will help you demonstrate your analytical skills and ability to think on your feet during the interview.