RL Lead, Humanoid Robotics & Post-Training

Datamentors

Portugal

Presencial

EUR 90 000 - 130 000

Tempo integral

Há 2 dias
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Resumo da oferta

Datamentors is building the next generation of autonomous robotics, combining AI, robotics, and VLA models. You will own the post-training stage of the Ardia humanoid platform, raising success rate and robustness through RL fine-tuning, reward modelling, and sim-to-real loops.

In this hands-on leadership role you will set the RL roadmap, design training and evaluation infrastructure, and mentor a small team to turn demonstrations into dependable production-ready behavior.

Qualificações

  • Strong RL expertise with policy-gradient methods and offline RL.
  • Hands-on robot learning/embodied AI experience with VLA models.
  • Experience with sim-to-real and at least one major simulator (Isaac Gym/MuJoCo).
  • Solid ML engineering with PyTorch and distributed training.
  • Evidence of shipping policies from demo to production.

Responsabilidades

  • Post‑VLA RL fine‑tuning — design and run the pipeline that takes a pretrained/imitation‑learned VLA policy and improves it with reinforcement learning (online and offline RL, RLHF/RL‑from‑feedback, preference and reward‑model approaches) to lift task success rates and reduce failure modes.
  • Reward design & evaluation — define reward signals, success criteria, and automated evaluation harnesses that actually correlate with real‑world manipulation and whole‑body performance, and that catch regressions before deployment.
  • Sim‑to‑real — build and tune the simulation‑to‑hardware transfer loop (domain randomization, residual policies, real‑world fine‑tuning) so gains in simulation hold up on the physical robot.
  • Data flywheel — establish the loop that turns robot rollouts and teleop data into better policies: autonomous data collection, filtering, labelling, and continual retraining.
  • Integration across the stack — work with the teams owning the orchestration layer, the VLA policy, and whole‑body control so RL improvements compose cleanly rather than fighting the rest of the system.
  • Technical leadership — set the RL roadmap, make build‑vs‑adopt calls on frameworks and tooling, mentor engineers, and represent the work to the wider team and external partners.

Conhecimentos

RL expertise
Robotics AI
Sim-to-real
ML engineering
Policy optimization
Shipping products

Ferramentas

PyTorch
MuJoCo
Isaac Gym

Descrição da oferta de emprego

Datamentors is building the next generation of autonomous robotics, combining AI, robotics, and VLA models. You will own the post-training stage of the Ardia humanoid platform, raising success rate and robustness through RL fine-tuning, reward modelling, and sim-to-real loops.

In this hands-on leadership role you will set the RL roadmap, design training and evaluation infrastructure, and mentor a small team to turn demonstrations into dependable production-ready behavior.

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