Humanoid

robot learning research

In short

Исследовательская интернатура по robot learning в компании Humanoid (разработка человекоподобных роботов HMND-01) в Лондоне. Задачи включают обучение манипуляционных политик через reinforcement learning, работу с world models, видео-предсказанием, VLA-моделями и оптимизацию инференса на робототехническом железе. Требуется степень магистра/PhD в CS, ML или робототехнике, сильные навыки Python и PyTorch/JAX, опыт проведения экспериментов. Формат работы — офис, полный день, 5 дней в неделю, на 12-24 недели.

О компании
Humanoid is developing commercially scalable, safe humanoid robots, including the HMND-01 platform for deployment in real industrial environments. It builds software systems that enable robots to operate effectively in the real world and expand human capabilities.
Задачи
•Train language-vision conditioned manipulation policies using reinforcement learning in the real world
•Construct challenging and diverse manipulation task suites and reinforcement learning models in simulation using Isaac Sim and MuJoCo
•Experiment with transferring policies trained in simulation to the real world
•Develop action-conditioned video prediction and physically consistent dynamics models over long horizons
•Use world models as learned simulators to score candidate policies offline and generate synthetic rollouts for training
•Build fidelity metrics that quantify where world models can be trusted
•Explore in-context learning, short- and long-term memory, and post-train VLA models for production-grade use cases
•Work with different data modalities, close the embodiment gap between human and robot data, and improve data diversity and attribution
•Optimise models for real-time edge inference on robot hardware, including profiling, quantisation, and latency/throughput trade-offs
•Improve training and data-loading performance across distributed GPU infrastructure
Требования
•Pursuing or holding a master's degree or PhD in computer science, machine learning, robotics, or a related field
•Strong foundations in machine learning
•Strong Python skills and hands-on experience with PyTorch or JAX
•Interest in one or more of reinforcement learning, world models and generative video, VLA/multimodal models, or ML systems and inference optimisation
•Experience running experiments and interpreting results rigorously
•Ability to take ownership and iterate with guidance
•Strong problem-solving skills and attention to detail
•Ability to learn quickly and work in a research-driven, fast-moving environment
Условия
•Internship for 12 to 24 weeks, 5 days per week
•Flexible start date
•Competitive pay and perks
•Free daily breakfast, catered lunch, and snacks in the office
•Daily collaboration with engineers, researchers, and product experts building AI and humanoid robotics
•Direct access to founding leadership, input on product direction, and the ability to drive initiatives from day one
Формат: офис в Лондоне

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