Head of Psysical AI

G2i
Europe, United States
Workplace: RemoteFull timeFunction: Data Science & Machine LearningSkills: ["Technical leadership","Problem-solving","Mentorship","Debugging","Experiment design"]

Establish and lead the Physical AI research and engineering function, deciding key problem bets, baselines, milestones, and evaluation criteria. Serve as a player-coach hands-on leader designing and training Transformer-based systems for embodied tasks, defining multimodal data and quality controls, and building reproducible offline and real-world evaluation suites. Oversee safe physical testing and deployment, analyze failures across data and systems, and recruit a focused team while translating customer/partner needs into technical requirements.

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FursaFursa
G2i
G2i
1 day ago

Head of Psysical AI

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Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Establish and lead the Physical AI research and engineering function, deciding key problem bets, baselines, milestones, and evaluation criteria. Serve as a player-coach hands-on leader designing and training Transformer-based systems for embodied tasks, defining multimodal data and quality controls, and building reproducible offline and real-world evaluation suites. Oversee safe physical testing and deployment, analyze failures across data and systems, and recruit a focused team while translating customer/partner needs into technical requirements.
Location: Europe, United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Director level

Key Responsibilities

  • •Define a focused Physical AI research and engineering roadmap with hypotheses, baselines, milestones, success measures, and stop criteria.
  • •Select model families to train/adapt/evaluate and decide when to build internally, use open models, license technology, or work through partners.
  • •Design, adapt, train, and evaluate Transformer-based systems for embodied tasks, including multimodal Transformer policies and robot-policy evaluation.
  • •Define sensors/modalities/annotations/data mixtures and establish reproducible offline and real-world evaluation systems with protections against leakage and weak success criteria.
  • •Lead technical reviews and safe, staged physical testing and deployment plans with rollback mechanisms; recruit and lead a small team and translate partner needs into technical requirements.

Key Requirements

  • •Deep, hands-on Transformer expertise, with material architecture or training decisions in at least one substantial Transformer-based system (e.g., vision, vision-language/action, multimodal foundation, world models).
  • •Experience with machine learning for systems that perceive or act in the physical world (robotics, autonomous vehicles, drones, manipulation, or egocentric wearable systems), including at least one project that progressed beyond offline datasets or simulation into a real/operational physical system.
  • •Strong Python engineering skills and direct experience with PyTorch (or an equivalent deep-learning framework), including ability to read and debug unfamiliar model/training code.
  • •Ability to design controlled experiments, analyze rollout failures, and work with large multimodal datasets while making sound compute/memory/training stability/cost tradeoffs.
  • •Technical leadership through setting direction for major research/model development programs and taking results through to deployment; a management title is not required.
Experience:RoboticsComputer visionMachine learningMultimodal
Skills:Technical leadershipProblem-solvingMentorshipDebuggingExperiment design
Tech Stack:PythonPyTorchROS 2

Company Brief

G2i
G2i is a video-first hiring platform that connects companies with pre-vetted remote engineers (React, React Native, GraphQL, etc.) using technical screening, live interviews, and AI-assisted hiring infrastructure to speed hiring.
Industry: HR Tech
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Headquarters: Miami, United States
Founded: 2016
Glassdoor
Glassdoor: 3.3
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