7 часов назад
Research Engineer (Embodied AI)
200 000 - 400 000$
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Research Engineer (Embodied AI): Developing end-to-end embodied AI systems for general-purpose robots with an accent on robot learning, multimodal foundation models, and real-world deployment. Focus on designing reinforcement and imitation learning algorithms, scaling VLA and video-generation models, and optimizing low-latency inference on physical hardware.
Location: On-site in Redwood City, California, United States
Salary: $200,000–$400,000 base salary per year, plus equity
Company
builds general-purpose commercial robots powered by a proprietary embodied AI foundation model and deployed across multiple industries.
What you will do
- Design and implement state-of-the-art robot learning algorithms, including reinforcement learning, imitation learning, and diffusion methods, for complex manipulation tasks.
- Architect and scale multimodal foundation models, including vision-language-action models, and apply generative video architectures to world modeling and robot foresight.
- Own the research-to-production pipeline from task definition and data curation through large-scale training and real-time deployment on physical robots.
- Evaluate and iterate on models using an expanding robot fleet in dynamic customer environments.
- Collaborate across AI, hardware, and teleoperation teams to improve the intelligence-per-watt of robotic systems.
Requirements
- PhD preferred or Master’s degree in Computer Science or Robotics, with a significant publication record in top-tier conferences such as RSS, CoRL, ICRA, NeurIPS, CVPR, or ICLR.
- 5+ years of experience in AI and robotics research, including deploying deep learning models on physical robots.
- Hands-on experience with vision-language-action models, video generation, or large-scale transformer architectures.
- Strong Python and PyTorch or JAX skills, with familiarity with MuJoCo, Isaac, or Drake.
- Ability to write maintainable, production-ready research code that scales across GPU clusters.
- Strong understanding of classical robotics, including controls and state estimation.
Nice to have
- Experience at founding-stage startups or leading small, elite research teams.
- Experience profiling and optimizing foundation models for low-latency inference on edge devices.
Culture & Benefits
- Work on technology for real-world robotic applications across multiple industries.
- Collaborate with researchers and engineers from organizations including Google DeepMind, Meta, and Cruise.
- Equity included in the compensation package.
- Commitment to technical rigor, mutual respect, and equal opportunity.
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