Member of Technical Staff - Science, Frontier AI & Robotics (FAR)

What you'll do

• Lead independent research and design deep-learning architectures for robotics, including perception, manipulation, control, and sim-to-real transfer.
• Guide robotics projects from concept through deployment, integrating hardware and algorithms for robust real-world performance.
• Collaborate with platform and hardware teams, contribute to technical direction, and mentor researchers while maintaining individual contributions.

What they ask for

• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
• Experience with any programming language such as Python, Java, C++.
• Experience building machine learning models or developing algorithms for business application.
• Experience with patents or publications at top-tier peer-reviewed conferences or journals, and developing and implementing deep learning models in an applied environment.

Nice to have

• Prior industry or academic research experience and demonstrated expertise in deep learning and large-scale robotics system development.
• Programming skills in Python and PyTorch/JAX; impactful first-author publications; or experience with real robotics, sim2real, multi-task learning, or large-scale foundation models.

Pay

USD 150,000/year–USD 300,000/year base salary

Tools

Python, Java, C++, PyTorch, JAX, LLMs, VLMs, VLAs

AI focus

Foundational AI research and development of multimodal robotic foundation models, deep-learning architectures, perception and manipulation systems, vision-language-action models, and efficient model inference; research includes sim-to-real transfer and deployment in real-world robotics.