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- Tasks: Develop cutting-edge spatial understanding systems for humanoid robots and enhance their navigation capabilities.
- Company: Join Humanoid, the UK's pioneering AI and robotics company creating advanced humanoid robots.
- Benefits: Competitive salary, stock options, paid vacation, travel opportunities, and private health insurance.
- Why this job: Be at the forefront of robotics, influencing product development and collaborating with top experts.
- Qualifications: Deep experience in machine learning, scene understanding, and proficiency in PyTorch.
- Other info: Enjoy a dynamic startup culture with free meals and exciting team events.
The predicted salary is between 36000 - 60000 £ per year.
Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications.
We are looking for the Senior Perception Engineer - Spatial Understanding & Navigation to join our team based in London, UK.
What You'll Do
- Develop next-generation spatial understanding systems for robot locomotion and manipulation, integrating perception and high-level reasoning.
- Work on open-ended navigation powered by Vision-Language-Action (VLA) models — enabling robots to understand context, predict intent, and act in complex, dynamic environments.
- Design and scale auto-labeling and large-scale data pipelines to train and evaluate multimodal models for navigation and interaction.
- Develop and implement scene understanding and 3D reconstruction methods that give robots persistent spatial memory and geometric awareness.
- Collaborate with cross-functional research and engineering teams to bring large vision-language models into real-world robotic systems.
- Stay ahead of the field — rapidly evaluate new model architectures, benchmarks, and datasets to guide our embodied AI roadmap.
What We're Looking For
- Deep experience in machine learning for vision or embodied AI, ideally with large models (VLMs, VLAs, transformers, diffusion, or multi-modal architectures).
- Strong background in scene understanding, spatial reasoning, or 3D reconstruction from visual data.
- Proficiency in PyTorch and hands-on experience building, fine-tuning, and deploying large-scale ML systems.
- Strong experimental and research skills — capable of taking projects from concept to model training, evaluation, and robot integration.
- Comfortable working in a fast-moving, research-driven environment with evolving models, data, and tools.
What We Offer
- Competitive salary plus participation in our Stock Option Plan.
- Paid vacation with adjustments based on your location to comply with local labor laws.
- Travel opportunities to our Vancouver and Boston offices.
- Private Health Insurance.
- Office perks: free breakfasts, lunches, snacks, and regular team events.
- Freedom to influence the product and own key initiatives.
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
- Startup culture prioritising speed, transparency, and minimal bureaucracy.
Senior Perception Engineer - Spatial Understanding & Navigation employer: Humanoid
Contact Detail:
Humanoid Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Perception Engineer - Spatial Understanding & Navigation
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Humanoid. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! If you’ve got projects or research that align with spatial understanding or navigation, don’t hesitate to share them. Create a portfolio or GitHub repo to showcase your work — it’s a great way to stand out!
✨Tip Number 3
Prepare for the interview by diving deep into Humanoid’s tech and values. Understand their products and think about how your experience with machine learning and robotics can contribute to their mission. It’ll show you’re genuinely interested!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us. Don’t miss out on the chance to join our innovative team!
We think you need these skills to ace Senior Perception Engineer - Spatial Understanding & Navigation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Perception Engineer role. Highlight your experience with machine learning, scene understanding, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about robotics and AI, and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality come through!
Showcase Relevant Projects: If you've worked on any projects related to spatial understanding or navigation, make sure to mention them. Include links to your work or GitHub if possible. We’re keen to see your hands-on experience and how you tackle real-world challenges.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re genuinely interested in joining our team at Humanoid!
How to prepare for a job interview at Humanoid
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest machine learning techniques, especially those related to vision and embodied AI. Brush up on your knowledge of large models like VLMs and VLAs, as well as tools like PyTorch. Being able to discuss your hands-on experience with these technologies 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 projects where you’ve tackled complex challenges in spatial understanding or 3D reconstruction. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting how you approached problems and what impact your solutions had. This will demonstrate your ability to think critically and innovate.
✨Collaborate Like a Pro
Since the role involves working with cross-functional teams, be ready to share examples of successful collaborations. Talk about how you’ve worked with engineers and researchers in the past, and how you navigated any challenges. This will show that you’re a team player who values input from others and can drive projects forward together.
✨Stay Ahead of the Curve
Familiarise yourself with the latest trends and advancements in AI and robotics. Be prepared to discuss recent developments in model architectures or datasets that excite you. This shows your passion for the field and your commitment to continuous learning, which is crucial in a fast-moving environment like Humanoid.
