Robotics Software Researcher: RL & Embodied AI

Acceler8 Talent; San Francisco (CA); Presencial; USD 180 000 - 240 000; Tempo integral

Resumo da oferta

Acceler8 Talent seeks a Robotics Software Researcher to advance learned control policies for embodied AI in real-time human collaboration. You will bridge interactive gaming environments with physical robotics, focusing on RL, imitation learning, and visuomotor control.

Responsibilities include building low-latency models, researching world models, planning, and sim-to-real transfer, while developing robust RL training pipelines in simulated and real contexts.

Qualificações

• PhD in Robotics, ML, or equivalent research experience.
• Publications at NeurIPS, ICLR, ICML, CoRL, RSS or similar conferences.
• Strong experience developing and training RL/IL policies.
• Proficiency in Python and deep learning frameworks (e.g., PyTorch).

Responsabilidades

• Develop reinforcement learning, imitation learning and visuomotor policies.
• Build low-latency models translating perception into actions.
• Research world models, planning and hierarchical policies.
• Develop simulation environments and RL training pipelines.
• Explore sim-to-real transfer and human-AI collaboration.

Conhecimentos

RL policy training

Imitation learning

Visuomotor control

Python programming

PyTorch

Formação académica

PhD in Robotics or ML

Ferramentas

PyTorch

Descrição da oferta de emprego

Acceler8 Talent seeks a Robotics Software Researcher to advance learned control policies for embodied AI in real-time human collaboration. You will bridge interactive gaming environments with physical robotics, focusing on RL, imitation learning, and visuomotor control.

Responsibilities include building low-latency models, researching world models, planning, and sim-to-real transfer, while developing robust RL training pipelines in simulated and real contexts.