5 часов назад
Research Engineer / Scientist (Robot Learning)
250 000 - 350 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Research Engineer / Scientist (Robot Learning): Developing and advancing state-of-the-art robot policies with an accent on sim-to-real transfer, robust performance, and scalable training pipelines. Focus on designing end-to-end manipulation systems, optimizing policy performance, and collaborating across research and infrastructure teams to deploy robotic systems.
Location: San Francisco
Salary: $250,000–$350,000 base salary
Company
builds foundational world models that unlock spatial intelligence by transforming perception into reasoning and action for autonomous agents.
What you will do
- Design and implement modern robot learning systems, including imitation and reinforcement learning for manipulation.
- Research, prototype, and productionize robotic policies with a focus on speed, precision, and scalability.
- Develop training pipelines for sim-to-real transfer, including domain randomization and real-sim alignment.
- Build end-to-end training and evaluation workflows from large-scale data generation to deployment.
- Optimize policy performance across the stack, including training speed and inference latency.
- Diagnose failure modes in simulation and real-world rollouts to improve robustness and generalization.
Requirements
- 6+ years of experience in manipulation, locomotion, or robot policy training.
- Strong foundation in robotics, neural network design, and sim-to-real transfer.
- Deep experience with robot policy designs such as VLA, WAM, or diffusion models.
- Proficiency in Python and/or C++ with experience building robotic systems.
- Experience with deep learning frameworks like PyTorch and low-level robotic controllers.
- Proven ability to drive projects from concept through deployment in fast-moving environments.
Culture & Benefits
- Work on cutting-edge spatial intelligence technology with a world-class, high-caliber team.
- Competitive compensation package including base salary and equity awards.
- Collaborative environment focused on research-driven product development.
- Commitment to equal opportunity and inclusive hiring practices.
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