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- Tasks: Lead robotics research and develop cutting-edge AI models for real-world applications.
- Company: Innovative AI research lab focused on robotics and intelligent systems.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Collaborate with top researchers and work on groundbreaking projects.
- Why this job: Join a team pushing the boundaries of robotics and AI technology.
- Qualifications: Experience in robotics, computer vision, and strong programming skills required.
The predicted salary is between 60000 - 80000 £ per year.
We are an AI research lab building foundational intelligence for the physical world. Our models are designed to solve complex real-world challenges, powering everything from intelligent robots to next-generation wearables and media. We work 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. You will collaborate closely with ML researchers developing multimodal world models and generative systems, and with hardware teams and partners to ensure robotic platforms, sensing, and system dynamics behave optimally in real-world operation.
What You’ll Do
- Build the Foundation: Collaborate with our world model team to build state-of-the-art training and simulation platform for robotics.
- Build the "World": Develop persistent 3D/4D scene representations that maintain temporal consistency.
- Drive Intelligence: Unlock advanced robotics planning and decision making through our in-house, cutting-edge world models.
- Sim2Real: Ensure sensing and system dynamics perform reliably in high-stakes, real-world operations, where models think, simulate, and act.
- Push Boundaries: Partner with top ML researchers to innovate on generative models and physical AGI.
Areas of Interest
- World models for embodied systems
- 3D / 4D generative models
- 3D reconstruction and scene understanding
- Embodied AI
- Object-level / semantic SLAM
- Multimodal AI
What We’re Looking For
- Background in robotics, or computer vision
- Experience with 3D perception, scene representations, or world models
- Experience working with robotic systems, simulation, or real-world platforms
- Strong programming skills (Python, C++, or similar)
- Ability to work across machine learning, perception, and robotics
Member of Technical Staff - Robotics Research Lead in London employer: Reka AI
Contact Detail:
Reka AI Recruiting Team
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 people in the robotics and AI fields on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to world models or robotics. We love seeing practical applications of your work, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common interview questions in robotics and AI, as well as being ready to discuss your past experiences in detail.
✨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 passionate candidates who want to push the boundaries of robotics and AI.
We think you need these skills to ace Member of Technical Staff - Robotics Research Lead in London
Some tips for your application 🫡
Show Your Passion for Robotics: When you're writing your application, let your enthusiasm for robotics and AI shine through! We want to see how your background aligns with our mission of building foundational intelligence for the physical world.
Highlight Relevant Experience: Make sure to showcase any experience you have with 3D perception, scene representations, or working with robotic systems. This is your chance to demonstrate how your skills can contribute to our cutting-edge projects!
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences without 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 the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Reka AI
✨Know Your Robotics Stuff
Make sure you brush up on your knowledge of robotics and computer vision. Be ready to discuss your experience with 3D perception and scene representations, as well as any projects you've worked on that relate to world models. This will show that you're not just familiar with the theory but have practical experience too.
✨Showcase Your Programming Skills
Since strong programming skills are a must, be prepared to talk about your proficiency in languages like Python or C++. You might even want to bring examples of your code or projects that demonstrate your ability to work with robotic systems and simulations. This will help you stand out as a candidate who can hit the ground running.
✨Collaborative Spirit is Key
This role involves working closely with ML researchers and hardware teams, so highlight your teamwork skills. Share examples of how you've successfully collaborated on projects in the past, especially those that required cross-disciplinary communication. This will show that you can thrive in a collaborative environment.
✨Prepare for Real-World Scenarios
Given the focus on ensuring reliable performance in high-stakes operations, think about real-world challenges you've faced in previous roles. Be ready to discuss how you approached these challenges and what solutions you implemented. This will demonstrate your problem-solving skills and your ability to apply theoretical knowledge in practical situations.