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- 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
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 in Bristol to connect with potential employers and showcase your passion for robot learning.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your projects in robot learning and deployment. Include any research publications or contributions to open-source projects to demonstrate your expertise.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of behaviour models and reinforcement learning. Practice coding challenges and be ready to discuss your past experiences in deploying policies on physical robots.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can give you an edge. Plus, it’s a great way to show your enthusiasm for joining our cutting-edge robotics team.
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 Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role without wading through unnecessary fluff.
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! This shows your interest in the role and the company. We suggest asking about the current projects they’re working on or how they envision the future of humanoid robotics. It’s a great way to engage and leave a lasting impression.