6 часов назад
AI Resident (Robotics)
10 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Resident (Robotics) (VLA, World Models, Reinforcement Learning): Building embodied physical intelligence systems that connect perception, reasoning, and action for deployable industrial robots with an accent on multimodal learning, simulation, and real-world robot interaction. Focus on designing long-horizon planning and control experiments, training large-scale learning systems, and transferring research from simulation to physical robot deployment.
Location: Milpitas, CA, United States
Salary: $10,000 per month
Company
develops Physical AI-powered robots for dull, dirty, and dangerous industrial work, focusing on real-world deployment and scalability.
What you will do
- Conduct research and build systems for embodied physical intelligence and deployable robotic behavior.
- Develop and evaluate Vision-Language-Action models, World Models, World Action Models, simulation methods, and reinforcement learning approaches.
- Design experiments involving perception, planning, control, manipulation, and long-horizon behavior on simulated and physical robots.
- Build training and evaluation pipelines for large-scale embodied learning systems.
- Work with research and engineering teams to move prototypes into real or simulated robot platforms.
- Contribute to technical reports, research discussions, and appropriate publications.
Requirements
- Master’s degree, PhD student status, recent graduation, or early-career research or engineering experience in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field.
- Experience with modern machine learning frameworks such as PyTorch, JAX, or TensorFlow.
- Experience using AI-assisted coding tools and agentic development workflows.
- Ability to implement, debug, evaluate, and productionize research ideas and AI-assisted code.
Nice to have
- Hands-on experience in robotic manipulation, mobile manipulation, or industrial robotics.
- Experience with multimodal or embodied models, World Models, action-conditioned prediction, planning, or control.
- Experience with simulation platforms such as Isaac Gym, Isaac Sim, MuJoCo, ManiSkill, or Habitat.
- Experience with reinforcement learning, imitation learning, robotic policies, real robot hardware, data collection, or deployment pipelines.
- Research, open-source, or high-impact engineering contributions.
Culture & Benefits
- Full-time residency lasting 3–6 months.
- Access to large-scale GPU clusters and production-grade infrastructure.
- Dedicated support for rapid experimentation on robotics and AI workloads.
- Company-provided lunch and dinner, a stocked kitchen, and team events.
- Premium fitness center membership covered by the company.
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