At a Glance
- Tasks: Lead robotics research, develop world models, and innovate on generative AI systems.
- Company: Cutting-edge 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 ML researchers in a dynamic and innovative environment.
- Why this job: Join a team pushing the boundaries of robotics and AI to solve real-world challenges.
- Qualifications: Background in robotics or computer vision, strong programming skills, and experience with 3D perception.
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
Join our innovative AI research lab, where we foster a collaborative and dynamic work culture that encourages creativity and cutting-edge research in robotics. As a Member of Technical Staff, you will have access to exceptional growth opportunities, working alongside top-tier ML researchers and hardware teams in a supportive environment that values your contributions. Located in a vibrant tech hub, we offer competitive benefits and the chance to be at the forefront of developing transformative technologies that address real-world challenges.
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 people in the robotics and AI fields on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to world models or robotics. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common questions related to robotics and AI to feel confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes tracking your application easier for us!
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 writing your application, let your enthusiasm for robotics and AI shine through. Share specific projects or experiences that highlight your background in robotics, computer vision, or 3D perception. We want to see what excites you about this field!
Tailor Your Application:Make sure to customise your CV and cover letter to align with the job description. Highlight relevant skills and experiences that match our needs, especially in areas like world models and generative systems. This shows us you’ve done your homework and are genuinely interested in the role.
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language and avoid jargon unless it’s relevant to the role. We appreciate a well-structured application that makes it easy for us to see your qualifications and fit for the position.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your materials and ensures you’re considered for the role. Plus, it helps us keep everything organised on our end.
How to prepare for a job interview at Reka
✨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 Python, C++, or similar languages. Bring examples of code you've written or projects where you've implemented algorithms. If possible, demonstrate how your coding has contributed to successful outcomes in previous roles.
✨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 collaborated on projects, especially those that required cross-disciplinary communication. This will help them see you as a team player who can drive innovation together.
✨Think About Real-World Applications
Prepare to discuss how your work can translate into real-world applications. Think about high-stakes scenarios where robotics and AI intersect, and be ready to share your thoughts on ensuring reliability in these situations. This shows that you understand the importance of practical implementation in robotics research.
