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- Tasks: Architect and develop behaviour models for advanced robotic manipulation.
- Company: Wave Recruitment, a leader in robotics innovation.
- Benefits: Competitive salary, research leadership opportunities, and support for conference attendance.
- Other info: Contribute to open-source projects and lead exciting deployments.
- Why this job: Join a supportive team and make a real impact in robotics.
- Qualifications: PhD/MSc in relevant fields and 4+ years of industry experience.
The predicted salary is between 60000 - 80000 £ per year.
Wave Recruitment is seeking a skilled professional to architect and develop large behaviour models for bi-manual and mobile manipulation. This role involves leading deployments and refining RL policies on physical robotic hardware.
Candidates should possess a PhD/MSc in relevant fields and at least four years of industry experience. The position offers competitive compensation and opportunities for research leadership within a supportive team that values conference attendance and open-source contributions.
Senior Robot Learning Engineer: Bi-Manual Manipulation 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: Bi-Manual Manipulation in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the robotics field on LinkedIn or at conferences. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects, especially those related to bi-manual manipulation and reinforcement learning. We want to see what you can do, so make it easy for potential employers to find your work.
✨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 robotics and RL policies, so you’re ready to impress.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Robot Learning Engineer: Bi-Manual Manipulation in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in bi-manual manipulation and reinforcement learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about robotic learning and how your background makes you a perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Your Research Experience: Since we value research leadership, make sure to highlight any publications or conference presentations. We love seeing candidates who are active in the research community, so share your contributions to open-source projects too!
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 don’t miss out on any important updates. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Wave Recruitment
✨Know Your Robotics Inside Out
Make sure you brush up on your knowledge of bi-manual manipulation and reinforcement learning (RL) policies. Be prepared to discuss specific projects you've worked on, especially those involving physical robotic hardware. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Leadership Skills
Since this role involves leading deployments, be ready to share examples of how you've successfully led teams or projects in the past. Highlight your ability to mentor others and contribute to a supportive team environment, as this is something the company values.
✨Prepare for Technical Questions
Expect to face some challenging technical questions during the interview. Brush up on your problem-solving skills and be ready to tackle hypothetical scenarios related to robot learning and manipulation. Practising with peers can help you articulate your thought process clearly.
✨Emphasise Your Research Contributions
If you've attended conferences or contributed to open-source projects, make sure to mention these experiences. Discussing your research leadership and how it aligns with the company's goals will demonstrate your commitment to the field and your potential value to their team.