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- Tasks: Develop and optimise robotic manipulation control systems and train robotic policies.
- Company: Join a leading tech firm in Paris or London focused on Physical AI.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on innovation and problem-solving.
- Why this job: Be at the forefront of robotics and make a real impact in AI technology.
- Qualifications: 5+ years in robotics engineering with expertise in Python or C++.
The predicted salary is between 36000 - 60000 £ per year.
What You’ll Do
- Develop and optimize a learning-based robotic manipulation control stack
- Design and maintain a teleoperation system with smooth, precise motion and low latency
- Train robotic policies for manipulation and locomotion with reinforcement learning and imitation learning
- Deploy robotic policies and diagnose latency or bottlenecks in the control pipeline
- Analyze and minimize the sim-to-real gap by co‑optimizing simulation and real‑world robot behavior
- Collaborate with a team of driven individuals committed to building general‑purpose Physical AI
What You’ll Bring
- Passion for your craft and demonstrated excellence in robotics engineering
- Exceptional ownership and initiative—finding and solving problems independently
- Focus, attention to detail, patience, and a methodical approach to complex tasks
- Production-level expertise in modern Python or C++
- Extensive experience building and deploying real-world learning-based robotic systems (5+ years)
- Bonus: Hands‑on experience troubleshooting and maintaining robotic systems across mechanical, electrical, and software components
Member of Technical Staff, Robot Learning (Paris, London) employer: Genesis AI
Contact Detail:
Genesis AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Member of Technical Staff, Robot Learning (Paris, London)
✨Tip Number 1
Network like a pro! Reach out to folks in the robotics field on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in robotic manipulation and control systems. We love seeing real-world applications of your expertise, so make sure to highlight any cool stuff you've built or worked on.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python or C++ skills and be ready to discuss your experience with reinforcement learning. We want to see your passion and problem-solving abilities shine through during the chat.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for driven individuals like you to join our team!
We think you need these skills to ace Member of Technical Staff, Robot Learning (Paris, London)
Some tips for your application 🫡
Show Your Passion: Let us see your enthusiasm for robotics! In your application, share specific projects or experiences that highlight your love for the craft. We want to know what drives you and how you've excelled in your field.
Be Detail-Oriented: When crafting your application, pay close attention to detail. Make sure your CV and cover letter are free from typos and clearly outline your relevant experience. We appreciate a methodical approach, so show us you’ve got it!
Highlight Your Experience: We’re looking for someone with extensive experience in building and deploying robotic systems. Be sure to include specific examples of your work with Python or C++, and any hands-on troubleshooting you've done. This is your chance to shine!
Apply Through Our Website: To make sure your application gets to us, apply directly through our website. It’s the easiest way for us to review your materials and get back to you. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Genesis AI
✨Know Your Robotics Inside Out
Make sure you brush up on your knowledge of robotic manipulation and control stacks. Be ready to discuss your past projects in detail, especially those involving reinforcement learning and imitation learning. This will show your passion and expertise in the field.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've independently tackled complex issues in robotics. Whether it’s diagnosing latency in a control pipeline or minimising the sim-to-real gap, having specific instances ready will demonstrate your ownership and initiative.
✨Get Comfortable with Python and C++
Since production-level expertise in modern Python or C++ is crucial, be prepared to discuss your experience with these languages. You might even want to practice coding problems or algorithms relevant to robotic systems to showcase your skills.
✨Emphasise Team Collaboration
Collaboration is key in this role, so think of examples where you’ve worked effectively within a team. Highlight how you contributed to building general-purpose Physical AI and how you can bring that collaborative spirit to their team.