At a Glance
- Tasks: Lead the development of behaviour models for humanoid robots and deploy policies on physical machines.
- Company: Join a pioneering robotics firm in Bristol with a focus on innovation.
- Benefits: Permanent role with competitive salary and opportunities for research publication.
- Other info: Collaborative environment with exciting research opportunities.
- Why this job: Be at the forefront of robotics and make a real impact in the field.
- Qualifications: MSc or PhD in Machine Learning or Robotics with strong robot learning experience.
The predicted salary is between 50000 - 70000 € per year.
OpenSourced - Search & Selection is seeking a Senior Robot Learning Engineer based in Bristol. This permanent, full-time role offers the chance to lead the development of large-scale behavior models for humanoid robotics.
Candidates should possess an MSc or PhD in Machine Learning or Robotics and have strong experience in robot learning and deployment.
Key responsibilities include:
- Training models
- Deploying policies on physical robots
The position emphasizes collaboration in a cutting-edge robotics environment with opportunities for research publication.
Senior Robot Learning Engineer — Diffusion & RL (Bristol) employer: OpenSourced - Search & Selection
OpenSourced - Search & Selection is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the field of robotics. Located in Bristol, employees benefit from a vibrant tech community, ample opportunities for professional growth, and the chance to contribute to groundbreaking research in humanoid robotics. With a focus on employee development and a commitment to cutting-edge projects, this role promises a meaningful and rewarding career path for those passionate about advancing robot learning technologies.
Contact Detail:
OpenSourced - Search & Selection Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Robot Learning Engineer — Diffusion & RL (Bristol)
✨Tip Number 1
Network like a pro! Reach out to folks in the robotics and machine learning community. Attend meetups, webinars, or conferences where you can connect with industry leaders and potential colleagues. 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 in robot learning and deployment. Whether it's GitHub repos or videos of your robots in action, having tangible evidence of your expertise can really set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with large-scale behaviour models. Practice common interview questions and think about how you can demonstrate your collaborative spirit in a cutting-edge environment.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, applying directly can sometimes give you a better chance of getting noticed by hiring managers.
We think you need these skills to ace Senior Robot Learning Engineer — Diffusion & RL (Bristol)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your MSc or PhD in Machine Learning or Robotics. We want to see your strong experience in robot learning and deployment, so don’t hold back on showcasing your relevant projects and achievements!
Tailor Your Application:Take a moment to customise your CV and cover letter for this role. We’re looking for someone who can lead the development of behaviour models, so align your experiences with the key responsibilities mentioned in the job description.
Be Collaborative:Since this role emphasises collaboration, mention any teamwork experiences you’ve had in cutting-edge environments. We love seeing how you’ve worked with others to achieve great results in robotics or machine learning.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in Bristol. We can’t wait to hear from you!
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 past projects, especially those involving robot learning and deployment. We recommend preparing specific examples that showcase your expertise and problem-solving skills.
✨Showcase Collaboration Skills
Since the role emphasises collaboration, think about times you've worked in a team, particularly in a research or engineering context. We suggest preparing anecdotes that highlight your ability to communicate effectively and work towards common goals with others.
✨Prepare for Technical Questions
Expect some technical questions related to behaviour models and reinforcement learning. We advise practising coding problems or theoretical questions that might come up. It’s a good idea to review recent advancements in the field to demonstrate your passion and knowledge.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! We encourage you to inquire about the team dynamics, ongoing projects, or future research directions. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
