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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 or 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 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
✨Tip Number 1
Network like a pro! Reach out to folks in the robotics and AI community, whether it's through LinkedIn or local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to robotics and AI. We love seeing practical applications of your knowledge, so make sure to highlight any cool simulations or models you've worked on.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with 3D perception and world models. We want to see how you think and solve problems, so practice explaining your thought process clearly.
✨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 are eager to push the boundaries of robotics and AI.
We think you need these skills to ace Member of Technical Staff - Robotics Research Lead
Some tips for your application 🫡
Show Your Passion for Robotics: When you're writing your application, let your enthusiasm for robotics shine through! Share specific projects or experiences that highlight your skills and interest in the field. We love seeing candidates who are genuinely excited about what they do.
Tailor Your Application: Make sure to customise your application to fit the role of Robotics Research Lead. Highlight relevant experience with 3D perception, scene representations, and any work you've done with robotic systems. This helps us see how you can contribute to our team!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your skills and experiences, and avoid jargon unless it's necessary. We appreciate a well-structured application that makes it easy for us to understand your qualifications.
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter.
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.
✨Show Off Your Programming Skills
Since strong programming skills are a must, be prepared to talk about your proficiency in Python, C++, or similar languages. You might even want to bring examples of code you've written or projects you've completed that demonstrate your coding abilities in robotics or machine learning.
✨Collaborate Like a Pro
This role involves a lot of collaboration with ML researchers and hardware teams. Think of examples from your past where you successfully worked in a team setting, especially in cross-disciplinary environments. Highlight how you contributed to the team's success and how you can bring that collaborative spirit to their projects.
✨Stay Curious and Innovative
The company is looking for candidates who push boundaries and innovate. Prepare to discuss any cutting-edge projects you've been involved in, particularly those related to generative models or embodied AI. Show them that you're not just a follower of trends but someone who actively seeks to create new solutions.