13 часов назад
Research Engineer (Embodied AI)
100 000 - 200 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Research Engineer (Embodied AI) (multimodal sensing and robotics): Developing multimodal sensing systems and sensor-fusion research for embodied AI and downstream VLA training with an accent on RGB-D video, motion capture, IMUs, tactile sensing, audio, and wearable systems. Focus on designing synchronization, calibration, fusion, and multimodal alignment experiments, evaluating sensor impact on robot learning, and iterating through real-world robotics deployments.
Location: San Francisco, United States
Salary: $100,000–$200,000 per year, plus equity
Company
is a Y Combinator-backed research lab building custom hardware and data infrastructure to model human embodied intelligence for robotics and scientific research.
What you will do
- Research multimodal sensing systems and sensor-fusion methods for embodied AI and robotics.
- Evaluate how sensor modalities affect VLA training, robot learning, policy performance, and generalization.
- Work with RGB-D video, IMUs, motion capture, tactile sensing, audio, and wearable-system data.
- Design experiments for synchronization, calibration, fusion, and multimodal alignment.
- Prototype and iterate sensing systems using feedback from real-world robotics deployments and research.
- Collaborate with hardware, machine learning, and research teams on next-generation robotics datasets and sensing systems.
Requirements
- Master’s or PhD in robotics, computer vision, sensing systems, or a related field.
- Published research in sensor fusion, perception systems, multimodal datasets, or embodied AI.
- Strong technical intuition for hardware systems and robot learning.
- Experience with RGB-D video, IMUs, motion capture, tactile sensing, or robotics systems.
- Experience with reinforcement learning, real-world robot deployments, and the effect of data on downstream policy performance.
- Curiosity, strong execution, and comfort operating from first principles.
Culture & Benefits
- Lean, deeply technical research environment operating at high speed.
- Ownership of meaningful systems from the first day.
- Work directly connected to model capabilities, robotics, and research into human embodied intelligence.
- Equity offered as part of compensation.
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