16 часов назад
Embodied AI Lead / Robot Brain Lead (Robotics)
180 000 - 250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Embodied AI Lead / Robot Brain Lead (Robotics): Designing and deploying a production-ready Robot Brain for real robotic hardware with an accent on vision-language-action models, visuomotor control, and world model integration. Focus on building reliable long-horizon planning and manipulation systems, predictive safety evaluation, end-to-end training pipelines, and leading a small Embodied AI team.
Location: El Segundo, California, United States
Annual salary: $180,000–$250,000 DOE, plus benefits and incentive plans
Company
is a California-based technology company developing intelligent, connected electric vehicles and AI-enabled technologies across automotive, robotics, and Web3.
What you will do
- Own the overall Embodied AI architecture, including System 2 vision-language-action models, System 1 visuomotor policies, and world model integration.
- Define technical roadmaps and make decisions on model families and training strategies, including diffusion policies, transformer policies, VLA approaches, and RL/BC hybrids.
- Lead implementation and deployment of the first production Robot Brain on at least one real robot platform.
- Collaborate with Control & Robotics, Agent & Applications, and Platform & Data teams on skills, workflows, data schemas, logging, and deployment pipelines.
- Define evaluation protocols covering task success, robustness, long-horizon stability, safety incidents, observability, and debugging.
- Hire, mentor, and lead an initial team of 3–6 Embodied AI engineers and researchers.
Requirements
- Bachelor’s degree or higher in Computer Science, Robotics, Electrical Engineering, or a related field.
- 5+ years of experience in machine learning or robotics, including 2+ years in a lead or technical lead role.
- Proven experience deploying machine learning models on real robotic hardware, not only in simulation.
- Strong Python skills and experience with PyTorch or JAX, including multi-GPU training.
- Strong written and verbal communication skills, including the ability to write design documents and align stakeholders.
Nice to have
- PhD or equivalent industry research experience in Robotics, AI, Machine Learning, or a related field.
- Hands-on experience with VLMs, VLAs, or multimodal LLM-based agents for real-world embodied tasks.
- Experience scaling robot learning systems in production, including large-scale data collection, sim-to-real transfer, and continuous learning loops.
Culture & Benefits
- Healthcare, dental, and vision benefits, free for employees and discounted for family.
- 401(k) options.
- Casual dress code and a relaxed work environment.
- Culturally diverse and progressive atmosphere.
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