machine learningstartupreinforcement learningroboticsvision language modelssim to realphysical aiworld modelsrobot learning
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£80к-160к/год
£110к£170кмедиана£180к
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Крутая вакансия
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Это четко описанная исследовательская роль с влиянием на направление стартапа в быстрорастущей сфере Physical AI и работой с реальными роботами; полностью офисный формат стоит учитывать при выборе.
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Только офисПередовой ИИВлияние на стартапРабота с роботами
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Founding Research Scientist (Physical AI): Building and deploying models that enable robots to learn and act in the real world with an accent on VLA and world-model post-training, cross-embodiment transfer, and physical-robot evaluation. Focus on developing data strategies, orchestrating VLMs for robotic perception and action, and transferring learned policies between simulation and real hardware.
Location: Bermondsey, London, United Kingdom — fully onsite
Salary: £80,000–£160,000 base salary per year plus equity
Company
Venture-backed Physical AI startup building models that enable robots to learn and act in the real world.
What you will do
Shape the research direction and help build the robotics research lab from its earliest days.
Develop VLA and world-model post-training approaches, progressing toward pretraining models from scratch.
Develop cross-embodiment transfer so one model can operate across multiple robot bodies.
Define data strategies and evaluate models on physical robots.
Orchestrate VLMs for robotic perception, reasoning, and action.
Own experiments from initial ideas through deployment on real hardware and publish technical reports and papers.
Requirements
Experience in robot learning, imitation learning, VLAs, world models, manipulation, or perception as a PhD student, postdoc, or industry researcher.
Strong machine learning research experience; researchers transitioning into robotics are also welcome.
Experience with Unitree G1 robots and deploying learned policies on physical hardware.
Experience with NVIDIA Isaac Sim for simulation, evaluation, and sim-to-real workflows.
Experience with VLM orchestration within robotics systems.
Nice to have
Publications at CoRL, RSS, ICRA, IROS, or NeurIPS.
Benchmark experience or contributions to LeRobot, openpi, or Isaac.
Culture & Benefits
Founding research ownership and equity.
Access to robots for hands-on experimentation.
Fast training and evaluation loops.
Fully onsite work in Bermondsey, London.
Hiring process
Apply directly or email khorsley@acceler8talent.com.
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