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Head of Psysical AI

g2iEuropeDirect&Permanent Hires
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Salary
Not listed
Job type
Full-time
Experience
Lead
Posted
14 Sept 2026
Status
Open · checked 7d ago

About this role

Remote with Europe and the United States preferred, this full-time position is ideal for a hands-on technical leader and team builder seeking to establish and direct an AI research and engineering function. The Head of Physical AI will guide the development of data, evaluation, and deployment layers for embodied intelligence.

Role Overview

The Head of Physical AI will define the technical trajectory for Miraxis, deciding which challenges to pursue and how results are measured. Operating as a player-coach, the individual will spend at least half of their time during the first year on direct technical tasks such as designing models, writing code, analyzing failures, and reviewing robot rollouts, while also building and leading a small team of researchers and engineers.

Key Responsibilities

Define a focused Physical AI research and engineering roadmap with clear hypotheses, baselines, and milestones.
Select model families to train, adapt, or evaluate, and determine build versus partner strategies.
Design, adapt, train, and evaluate Transformer-based systems for embodied tasks, covering vision-language-action models and reinforcement learning.
Establish reproducible offline and real-world evaluation systems while protecting against leakage and overfitting.
Take projects from problem definition through hardware integration and real-world validation.
Analyze failures across data, perception, models, control, hardware, and operating environments.
Recruit, lead, and mentor a small team of complementary researchers and engineers.

Requirements

Direct, hands-on Transformer expertise with personal architecture or training decisions in a substantial system.
Professional background in machine learning for a system that perceives or acts in the physical world, such as robotics or autonomous vehicles, with experience moving beyond simulation into a physical system.
Strong Python engineering skills and direct experience with PyTorch or an equivalent deep-learning framework.
Ability to read and debug unfamiliar model and training code while designing controlled experiments.
Experience setting direction for a significant research, model-development, or robotics technical program.

Nice to Have

Deep computer-vision experience including visual representation learning, 3D spatial reasoning, and sensor fusion.
Familiarity with robot foundation models, diffusion policies, world models, and cross-embodiment training.
Experience with ROS 2, distributed training, and inference optimization.
Background in safety-critical systems, early-stage companies, or open-source contributions and research publications.
A PhD in machine learning, computer vision, robotics, computer science, or a related field.

Skills and Tools

Python
PyTorch
Transformer-based systems
Vision Transformers
Vision-language-action models
Diffusion Transformers
ROS 2

About the Company

The employer builds the data, evaluation, and deployment layer for Physical AI, working across multimodal robot and human data, annotation, model evaluation, and systems that convert physical-world experience into robot behavior. Operating as a hardware- and model-agnostic organization, the company focuses on methods that produce measurable improvements on real tasks.

How to Apply

Interested candidates should apply on the official company careers page.

Skills and tech stack

PythonPyTorchTransformersVision TransformersVision-Language-Action ModelsDiffusion TransformersROS 2Computer VisionReinforcement LearningDeep LearningMachine LearningDiffusion

Questions candidates ask

Where is the position located?

The role is remote, with Europe and the United States preferred, though exceptional candidates globally will be considered.

Is this a management-only role?

No, this is a player-coach role. At least half of the time during the first year is spent on direct technical work like coding, designing models, and reviewing robot rollouts.

What level of Transformer experience is required?

You must have personally made material architecture or training decisions in at least one substantial Transformer-based system, such as vision-language-action models, diffusion transformers, or world models.

Is a PhD required for this role?

A PhD in machine learning, computer vision, robotics, or a related field is valuable but not required, as an equivalent record of original model work and technical leadership is equally relevant.

Who does the Head of Physical AI report to?

The role reports directly to the CEO.

Ready to apply?

The application is on the official g2i careers page.

Apply on company site