Lead RL Engineer for Humanoid Robotics

Datamentors

Região Autónoma Da Madeira

Presencial

EUR 120 000 - 180 000

Tempo integral

Há 10 dias
Gerador de candidaturas

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Resumo da oferta

Datamentors is seeking a leadership-level engineer to own the post-training RL layer for the Ardia humanoid platform. You will lift success rates, robustness, and precision through RL fine-tuning, reward modelling, and a tight sim-to-real loop, shaping the technical direction for RL across the platform.

You will oversee training infrastructure, evaluation, and a growing team, turning capable demonstrations into dependable product capabilities with close collaboration across teams.

Qualificações

  • Strong RL expertise including PPO/GRPO, offline RL, RLHF, and reward modeling.
  • Hands-on experience with VLA models or comparable manipulation/locomotion policies.
  • Practical sim-to-real experience with major simulators.

Responsabilidades

  • Design and run RL post-training pipelines to improve VLA policies.
  • Define reward signals and automated evaluation harnesses for real-world performance.
  • Build the sim-to-real transfer loop and tune domain randomization.
  • Establish data flywheel for autonomous data collection and retraining.
  • Coordinate integration with orchestration, VLA policy, and entire stack.
  • Provide technical leadership and mentor engineers, roadmap decisions.

Conhecimentos

RL expertise
Embodied AI
Sim-to-Real experience
ML engineering
Shipping demonstrated results

Formação académica

PhD in ML/Robotics

Ferramentas

PyTorch
MuJoCo
Isaac Gym

Descrição da oferta de emprego

Datamentors is seeking a leadership-level engineer to own the post-training RL layer for the Ardia humanoid platform. You will lift success rates, robustness, and precision through RL fine-tuning, reward modelling, and a tight sim-to-real loop, shaping the technical direction for RL across the platform.

You will oversee training infrastructure, evaluation, and a growing team, turning capable demonstrations into dependable product capabilities with close collaboration across teams.

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