Robotics AI Research Lead: Transformer & Physical AI

Humanoid; Greater London; On-site; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Stock options

30+ paid days off

Private healthcare

Pension scheme

Free daily breakfast

In-office collaboration

Direct access to leadership

Job summary

Humanoid is seeking a Robotics Applied Research Lead to drive AI research and engineering for its humanoid platform. You will define the research direction, own transformer-based projects, and connect models to Humanoid’s data strategy while overseeing offline and real-world evaluation.

You’ll move work from concept to deployment on physical robots and build a small, focused team. The role emphasizes hands-on model design, experimentation, and code review in a leadership capacity, with direct

Qualifications

• Experience with transformer-based systems architecture and training.
• Proven track record in physical AI or embodied systems.
• Strong Python and PyTorch proficiency with real-system delivery.

Responsibilities

• Set the technical direction with a focused R&D roadmap and milestones.
• Own transformer research and engineering for embodied tasks.
• Define data requirements and evaluation protocols for offline and real-world tests.
• Move projects from problem definition to hardware integration and validation.
• Build and mentor a small technical team focused on validated results.

Skills

Transformer expertise

Physical AI

Python

PyTorch

Leadership

Evaluation testing

Communication

Robotics

Education

PhD in ML/CS valuable but not required

Tools

PyTorch

TensorFlow

ROS 2

Job description

Humanoid is seeking a Robotics Applied Research Lead to drive AI research and engineering for its humanoid platform. You will define the research direction, own transformer-based projects, and connect models to Humanoid’s data strategy while overseeing offline and real-world evaluation.

You’ll move work from concept to deployment on physical robots and build a small, focused team. The role emphasizes hands-on model design, experimentation, and code review in a leadership capacity, with direct