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Head of Physical AI

Alcor·Salary not specified

Primary stack

CommunicationAILeadership

Nice to have's

Computer VisionRoboticsDeep LearningMachine LearningPythonPyTorch

Job description

Head of Physical AI

London, United Kingdom

About the Position

Miraxis builds the data, evaluation, and deployment layer for Physical AI. We work across multimodal robot and human data, annotation and assurance, model evaluation, and the systems that turn physical-world experience into useful robot behavior. We are hardware- and model-agnostic. We care whether a dataset, model, or method produces a measurable improvement on a real task.

The Head of Physical AI establishes and leads Miraxis’s AI research and engineering function. You decide which Physical AI problems we work on, define how we test them, and stay directly involved in the most important technical work. You connect four areas that often sit apart:

  1. Multimodal and embodied data
  2. Transformer-based models and robot policies
  3. Rigorous offline and real-world evaluation
  4. Deployment on physical systems

Responsibilities

  • Set the technical direction: Define a focused research and engineering roadmap. Select a small number of high-value bets with clear hypotheses, baselines, milestones, and stop criteria.
  • Own Transformer research and engineering: Design, adapt, train, and evaluate Transformer-based systems for embodied tasks.
  • Connect models to data strategy: Define the data needed to train and evaluate the selected models.
  • Own evaluation: Establish offline and real-world evaluation systems, baselines, held-out conditions, and release gates.
  • Move work onto physical systems: Take projects from problem definition through training, hardware integration, and real-world testing.
  • Build a small technical team: Recruit a few complementary researchers and engineers.
  • Represent the function and own responsible development: Explain the strategy to customers, partners, and investors.

Requirements

  • Deep, direct Transformer expertise: You must have personally made material architecture or training decisions in one or more substantial Transformer-based systems.
  • Physical AI or embodied-system experience: You have worked on machine learning for a system that perceives or acts in the physical world.
  • Hands-on technical ability: You write and review high-quality Python. You work directly with PyTorch or an equivalent framework.
  • Technical leadership: You have set direction for important technical work.
  • Evaluation, communication, and judgment: You design held-out tests, run controlled comparisons, find leakage and confounds, and report results with appropriate uncertainty.

Nice to Have

  • Computer Vision: Visual representation learning, VLMs, video and temporal modeling, detection, segmentation, tracking, multi-view and egocentric vision, 3D and spatial reasoning, pose, calibration, localization, sensor fusion, or real-time vision systems.

We Offer

  • Competitive salary
  • Opportunity to work in a cutting-edge field
  • Collaborative and innovative work environment

About the Company

Miraxis is at the forefront of developing advanced AI systems for physical tasks. We are committed to pushing the boundaries of what AI can achieve in the physical world.

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