TL;DR: If you:
- think deeply about how machines reason about the physical world;
- have a track record of exceptional research or engineering achievement;
- move effortlessly between papers, experiments, and production code;
- love difficult problems with no obvious solution...
... you should apply for this role!
About the opportunity:We're seeking an exceptional AI Research Scientist/Manager to join our small team of elite researchers and help us push the boundaries of AI applied to the physical world. This role blends cutting-edge AI research with hands-on engineering, and is ideal for someone who thrives at the intersection of ideas and implementation.
About the role:- Research and develop new approaches for spatial reasoning, geometric understanding, physical reasoning, and structured world modeling in large-scale AI systems.
- Own the full development pipeline from data generation to evaluation to product integration.
- Contribute to both research strategy and technical implementation-this is a hands-on role. Have ownership over your own applied research stream.
- Investigate topics such as 3D reasoning, geometric representations, multimodal reasoning, world models, simulation, and physical intuition.
- Stay on the edge of what's possible and bring promising ideas into reality (e.g. following the literature, attending conferences, etc).
About you:- Have conducted research in one or more areas such as spatial reasoning, geometric deep learning, 3D vision, multimodal reasoning, world models, robotics, simulation, or related fields.
- Are fluent in Python and modern ML stack such as PyTorch or JAX, and distributed training frameworks.
- Creative approach to bringing definition and solutions to under-specificed challenges.
- Are fascinated by how intelligent systems perceive, represent, and reason about the physical world.
- Thrive in fast-moving, collaborative environments, and communicate technical matters with clarity.
- Take a high-ownership, "make it work" approach to problem solving.
As a bonus, you may have:
- A PhD (or equivalent experience) in Computer Science, Robotics, Engineering, Math, or a related field.
- Publications in top-tier venues.
- Experience working with CAD data, point clouds, meshes, simulation environments, or other geometric representations.
Location:Onsite in San Mateo, CA. Relocation support available.
Benefits:Competitive salary, meaningful equity ownership, healthcare, dental, vision, 401(k) match, and unlimited PTO.
Interview process:- Initial screening call (30 mins)
- Biographical/behavioural interview (60 mins)
- Technical interview (75 mins)
- CEO interview (30 mins)
