At a Glance
- Tasks: Lead cutting-edge robotics research and mentor a talented team in our London lab.
- Company: Innovative lab at the forefront of AI and robotics technology.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Join a dynamic team and help shape the future of embodied AI.
- Why this job: Make a real impact in robotics and AI while collaborating with top researchers.
- Qualifications: Strong background in robotics or computer vision and excellent programming skills.
The predicted salary is between 80000 - 100000 £ per year.
Our lab sits at the intersection of world models, video generation, and robotics, building systems that represent complex environments, reason about objects and dynamics, and translate high-level AI intentions into smooth, efficient, safe, and responsive actions across a variety of robotic embodiments.
What You’ll Do:
- Lead the design and execution of our AI’s robotics research agenda
- Recruit, mentor, and manage a small team of research scientists and engineers in our London lab
- Collaborate with the world model and simulation teams to develop state-of-the-art training platforms for robotics
- Guide the creation of persistent 3D/4D scene representations and advanced embodied AI methodologies
- Drive research efforts in scene understanding, sim-to-real transfer, and advanced planning
- Foster partnerships with leading ML researchers, hardware specialists, and external collaborators
- Help establish the lab's technical culture and external reputation
Areas of Interest:
- World models for embodied systems
- 3D/4D generative models
- Scene reconstruction and understanding
- Embodied AI
- Object-level and semantic SLAM
- Multimodal AI
What We’re Looking For:
- Strong background in robotics, computer vision, or related areas
- Experience leading or managing small technical or research teams
- Hands-on expertise with 3D perception, scene representations, world models, or simulation
- Excellent programming skills (Python, C++, or similar)
- Entrepreneurial spirit and excitement about building in a startup or early-stage lab environment
- Ability to work effectively across machine learning, perception, and robotics disciplines
- Outstanding communication and team-building skills
Member of Technical Staff, Robotics Research Lead in London employer: Reka
Join our innovative London lab, where we are at the forefront of robotics research, fostering a collaborative and dynamic work culture that encourages creativity and growth. As a Member of Technical Staff, you will have the opportunity to lead a talented team, engage with cutting-edge technologies, and contribute to groundbreaking advancements in AI and robotics. We prioritise employee development, offering mentorship and partnerships with leading experts, making this an exceptional place for those seeking meaningful and impactful work.
StudySmarter Expert Advice🤫
We think this is how you could land Member of Technical Staff, Robotics Research Lead in London
✨Tip Number 1
Network like a pro! Reach out to folks in the robotics and AI community, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to robotics and AI. This is your chance to demonstrate your hands-on expertise and make a lasting impression.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as communication is key in our field. We want to see how you can lead and inspire a team!
✨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, it shows you’re genuinely interested in joining our lab and contributing to our exciting projects.
We think you need these skills to ace Member of Technical Staff, Robotics Research Lead in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the role of Robotics Research Lead. Highlight your background in robotics, computer vision, and any leadership experience you've had. We want to see how you can contribute to our lab's mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how your expertise fits into our research agenda. Don’t forget to mention any relevant projects or collaborations that showcase your entrepreneurial spirit.
Showcase Your Technical Skills:Since we’re looking for someone with strong programming skills, make sure to include specific examples of your work with Python, C++, or similar languages. If you’ve worked on 3D perception or scene understanding, let us know how you tackled those challenges!
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, we love seeing candidates who take the initiative!
How to prepare for a job interview at Reka
✨Know Your Stuff
Make sure you brush up on your knowledge of robotics, computer vision, and AI methodologies. Be ready to discuss your past projects and how they relate to the job description. This will show that you’re not just a fit for the role but also genuinely passionate about the field.
✨Showcase Your Leadership Skills
Since the role involves leading a team, prepare examples of how you've successfully managed or mentored others in the past. Highlight your ability to foster collaboration and build a positive technical culture, as this is key to the lab's success.
✨Get Technical
Be prepared to dive deep into technical discussions. Brush up on your programming skills, especially in Python and C++. You might be asked to solve a problem on the spot, so practice coding challenges related to robotics and AI to keep your skills sharp.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the lab's current projects, their approach to scene understanding, or how they envision the future of embodied AI. This shows your interest and helps you gauge if the environment aligns with your entrepreneurial spirit.
