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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: AI Chopping Block, Inc.
Contact Detail:
AI Chopping Block, Inc. 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 people in the robotics and AI fields, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to robotics and AI. This is your chance to demonstrate your expertise in 3D perception and world models, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your experience with robotic systems and simulation. We want to see how you think on your feet!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team and contributing to cutting-edge robotics research.
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 us see your enthusiasm for robotics and AI. Share any projects or experiences that highlight your skills in 3D perception or world models. We love candidates who are genuinely excited about pushing the boundaries of technology!
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter to reflect the specific requirements of the role. Highlight your experience with robotic systems and programming languages like Python or C++. This helps us see how you fit into our team and the exciting work we do.
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to describe your experiences and skills. We appreciate well-structured applications that make it easy for us to understand your background and how you can contribute to our mission.
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 shows you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at AI Chopping Block, Inc.
✨Know Your Stuff
Make sure you brush up on your knowledge of robotics and computer vision. Familiarise yourself with the latest advancements in 3D perception and world models, as well as any relevant projects you've worked on. Being able to discuss these topics confidently will show that you're genuinely interested and knowledgeable.
✨Showcase Your Skills
Prepare to demonstrate your programming skills, especially in Python and C++. Have examples ready that highlight your experience with robotic systems and simulations. If you can, bring along a portfolio or code samples that showcase your work in 3D reconstruction or scene understanding.
✨Collaborative Spirit
Since this role involves working closely with ML researchers and hardware teams, be ready to discuss your collaborative experiences. Share specific examples of how you've successfully partnered with others to solve complex problems or innovate on projects. This will illustrate your ability to work effectively in a team environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects and future directions, particularly around their work with generative models and embodied AI. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career goals and interests.