4 hours ago
London, United KingdomSenior / Staff+
Responsibilities
- Architect a spatial intelligence layer combining 3D geometry and semantic scene understanding for safe navigation and locomotion.
- Develop 3D spatial reasoning, persistent spatial memory, state estimation, mapping, and localization capabilities.
- Train, fine-tune, deploy, and integrate large-scale multimodal networks for ultra-low-latency edge performance.
- Implement advanced 3D representations that track and interpret environmental state.
- Collaborate across research, engineering, and robotics teams to integrate large-scale models into reliable robot systems.
- Evaluate model architectures, benchmarks, and datasets to guide the embodied AI roadmap.
Requirements
- Proven software engineering track record shipping complex machine learning systems into production.
- Strong background in 3D scene understanding and efficient spatial data structures.
- Deep experience with machine learning for vision or embodied AI, ideally involving large models, VLMs, transformers, or multimodal architectures.
- Proficiency in PyTorch and hands-on experience building, fine-tuning, and deploying large-scale machine learning systems.
- Ability to take projects from conceptual research through high-performance robot code.
- Comfort working in a fast-moving, research-driven environment with evolving models, data, and tools.
Benefits
- Competitive equity through stock options with meaningful upside.
- 30+ paid days off, including annual leave, UK bank holidays, and company closure days.
- Private healthcare with virtual and in-person care.
- Pension scheme with an 8% total contribution.
- Free daily breakfast, catered lunch, and in-office snacks.
- Opportunity to work with engineers, researchers, and product experts on humanoid robotics and AI.
- Significant ownership, direct access to founding leadership, and influence over product direction from day one.
Tech Stack
Categories
ML EngineeringRobotics
About Humanoid
Humanoid develops general-purpose humanoid robots for industrial environments to automate hazardous or monotonous tasks in manufacturing, logistics, and construction. Its HMND‑01 Alpha platform is running in real industrial pilots, pointing toward a hardware-and-software product paired with deployment services. Founded in 2024 and headquartered in London, the privately held company is scaling toward wider commercialization from these pilots.