Job Title

Humanoid is the first AI and robotics company in the UK, creating the worlds 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.For a complete understanding of this opportunity, and what will be required to be a successful applicant, read on.Our MissionAt Humanoid we strive to create the worlds leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity.VisionIn a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization.SolutionAs the demands on our built environment rise, labour shortages loom. With the worlds workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs.What You'll Do:Train policies via representation learning, behaviour cloning and RL; own the full loop from data to deployment.Partner with teleoperations to drive data collection: specify what good looks like, ensure diversity/coverage, and close the gap between sim and real.Run pre-/mid-/post-training on multimodal LLM/VLM/VLA stacks; plug in new modalities (vision, audio, proprioception, LiDAR/point clouds, ) without breaking existing ones.Build and maintain continuous pipelines: ingest simulation + teleop logs, version them, apply weaksupervision labelling, curate balanced datasets, and autosurface fresh failure cases into retraining.Work with MLOps & Data Platform teams to scale distributed training and optimize models for realtime edge inference.Were Looking For:3+ years building deeplearning systems (industry or research) with shipped models or published artifacts to show for it.Handson with at least one of: LLMs, VLMs, or image/video generative models architecture, training, and inference.Experience with deep learning infrastructure: streaming datasets, checkpointing 'state management, distributed training strategies.Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code.You document experiments clearly and communicate tradeoffs crisply.Nice-to-Have:Robotics or autonomous driving experience.RL for LLMs or robotics (PPO, DPO, SAC, etc.).Proven productization of deep nets (latency/throughput constraints, telemetry, ondevice optimization).Publications at ICLR/ICML/NeurIPS or equivalent opensource contributions. xjdpvnf Familiarity with OpenVLA, Physical Intelligence () models, or similar open VLA frameworks.What We Offer:Competitive salary plus participation in our Stock Option PlanUK Private InsurancePaid vacation with adjustments based on your location to comply with local labor lawsTravel opportunities to our Vancouver and Boston officesOffice perks: free breakfasts, lunches, snacks, and regular team eventsFreedom to influence the product and own key initiativesCollaboration with toptier engineers, researchers, and product experts in AI and roboticsStartup culture prioritising speed, transparency, and minimal bureaucracy