Staff AI Engineer Robot Learning Navigation
HumanoidVisit Humanoid website
UK-based AI and robotics company building commercially scalable humanoid robots for industrial deployment.
London, United Kingdom
Funding history
About Humanoid
Humanoid develops industrial humanoid robots and its proprietary KinetIQ AI framework for real-world tasks across manufacturing, logistics, and related environments.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will lead the design, development, and optimization of learned navigation systems for humanoid robots. You will build VLA-powered navigation capabilities, scale data pipelines and evaluation frameworks, deploy reliable models on physical hardware, and evaluate new model architectures, multi-agent strategies, and datasets.
Requirements
- Machine learning for embodied AI
- End-to-end learned behaviors using large models
- Deploying, monitoring, and optimizing large-scale machine-learning systems
- Spatial reasoning
- Semantic goals
- Multi-agent dynamics or interactive environments
- PyTorch
- Training, fine-tuning, and deploying large-scale foundation models for robotics
Responsibilities
- Develop learned navigation systems with spatial reasoning and semantic goals
- Build VLA-powered open-ended navigation capabilities
- Design and scale data pipelines and evaluation frameworks
- Architect and deploy reliable machine-learning systems on physical hardware
- Productionize vision-language-action models with research and engineering partners
- Evaluate model architectures, multi-agent strategies, and datasets
Benefits
- Stock options
- 30+ paid days off including 23 days of annual leave, UK bank holidays, and company closure days
- Private healthcare
- Pension scheme with 8% total contribution
- Free daily breakfast, catered lunch, and snacks in-office