Humanoid

ml engineer in robotics

In short

This is a 12-week, full-time winter internship (starting November) at Humanoid, a London-based company building commercially scalable humanoid robots. The role focuses on perception systems, Vision-Language(-Action) and multimodal models for robot navigation and real-world interaction. It requires a student currently pursuing a degree in CS, ML, Robotics or related field, with hands-on PyTorch experience and strong ML/computer vision foundations.

About Humanoid
Humanoid builds commercially scalable, safe humanoid robots, including the HMND-01 platform deployed in real industrial environments. The company develops software systems that enable robots to operate effectively in the real world.
Responsibilities
•Develop perception systems for robot navigation and interaction in real-world environments
•Work on focused problems within Vision-Language(-Action) or multimodal models, including components, datasets, and evaluation
•Run and analyze experiments using existing pipelines
•Improve data quality through curation and labeling
•Explore scene understanding, 3D perception, or navigation methods and apply them to real systems
•Prototype ideas and iterate quickly with guidance
•Collaborate on integrating models into robotic platforms
Requirements
•Pursuing a degree in Computer Science, Machine Learning, Robotics, or a related field
•Strong foundations in machine learning and/or computer vision
•Hands-on experience with PyTorch and training ML models
•Experience running experiments and interpreting results
•Interest in multimodal models, 3D vision, spatial reasoning, navigation, or embodied AI
•Ability to take ownership and iterate with guidance
•Strong problem-solving skills and attention to detail
•Fast learner, comfortable in a research-driven, fast-moving environment
Conditions
•12-week internship over the winter, starting in November
•Full-time internship, 5 days per week
•Competitive pay
•Food provided

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