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- Tasks: Lead the development of advanced perception systems for humanoid robots.
- Company: Innovative AI company focused on building a future with humanoid robots.
- Benefits: Competitive salary, stock options, relocation assistance, and free meals.
- Why this job: Join a mission to revolutionise robotics and make a real-world impact.
- Qualifications: Strong experience in machine learning, robotics, and advanced PyTorch skills.
- Other info: Fast-paced startup culture with opportunities for travel and collaboration.
The predicted salary is between 48000 - 72000 £ per year.
Overview: Senior Perception Engineer - Spatial Understanding & Navigation. London, UK.
Our Vision: We believe artificial intelligence is opening new horizons for humanity. By developing fully functional humanoid robots, we aim to help build a future of abundance, opportunity, and well-being - where people are free to choose meaningful work while machines handle dangerous, repetitive, and undesirable tasks.
The Role: As a Senior Perception Engineer - Spatial Understanding & Navigation, you will lead the development of advanced perception and spatial intelligence systems that enable robots to move, understand, and interact with the real world. You will build the intelligence that allows robots to interpret complex environments, reason about context, and act autonomously.
What You'll Do:
- Develop next-generation spatial understanding systems for robot locomotion and manipulation
- Build open-ended navigation powered by Vision-Language-Action (VLA) models
- Design large-scale data pipelines and auto-labelling systems for multimodal training
- Implement scene understanding and 3D reconstruction for persistent spatial memory
- Integrate large vision-language models into real-world robotic platforms
- Evaluate new model architectures, datasets, and benchmarks to guide embodied AI strategy
- Collaborate with robotics, research, and platform engineering teams
What We're Looking For:
- Strong experience in machine learning for vision, robotics, or embodied AI
- Deep expertise in scene understanding, spatial reasoning, or 3D perception
- Hands-on experience with large models (VLMs, VLAs, transformers, diffusion, multimodal models)
- Advanced PyTorch skills and experience deploying large-scale ML systems
- Strong research and experimentation mindset - from concept to production
- Comfortable working in a fast-paced, research-driven startup environment
What We Offer:
- Competitive salary plus stock options
- If you need to relocate, the Client can help assist with this
- Paid annual leave and additional sick leave (aligned with local labour laws)
- Travel opportunities to our Vancouver and Boston offices
- Free breakfasts, lunches, snacks, and regular team events
- High ownership and real influence over product direction
- Collaboration with world-class engineers and AI researchers
- Startup culture focused on speed, transparency, and minimal bureaucracy
If you are interested - please apply directly!
Senior Research Perception Engineer employer: Randstad Technologies Recruitment
Contact Detail:
Randstad Technologies Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Perception Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to spatial understanding and navigation. This gives you a chance to demonstrate your expertise and passion for the field.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to machine learning and robotics. Practice explaining your thought process clearly, as communication is key in a fast-paced startup environment.
✨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 the team and contributing to our vision.
We think you need these skills to ace Senior Research Perception Engineer
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for AI and robotics shine through! We want to see how excited you are about the role and our vision. Share any personal projects or experiences that relate to spatial understanding and navigation.
Tailor Your CV: Make sure your CV is tailored to highlight your experience in machine learning, scene understanding, and 3D perception. We love seeing relevant skills and projects that align with what we're looking for, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Be specific about your hands-on experience with large models and your research mindset. We want to know how you can contribute to our team!
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Randstad Technologies Recruitment
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest machine learning techniques, especially those related to vision and robotics. Brush up on your PyTorch skills and be ready to discuss your hands-on experience with large models like VLMs and VLAs. This will show that you’re not just familiar with the theory but can apply it practically.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous projects, particularly around spatial understanding and 3D perception. Use the STAR method (Situation, Task, Action, Result) to structure your answers, demonstrating how you tackled complex problems and what the outcomes were.
✨Understand the Company’s Vision
Familiarise yourself with the company’s mission of developing humanoid robots and how they aim to enhance human life. Be ready to articulate how your skills and experiences align with their goals, especially in terms of building autonomous systems that interact intelligently with the environment.
✨Be Ready for Technical Questions
Expect in-depth technical questions during your interview. Prepare to explain your approach to designing data pipelines or implementing scene understanding. Practising coding problems or discussing past projects can help you feel more confident when tackling these questions.
