TL;DR: If you:
- obsess over how intelligent systems learn, adapt, and improve over time;
- have a track record of exceptional research or engineering achievement;
- move effortlessly between papers, experiments, and production code;
- turn half-baked ideas into working systems...
... 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 approaches for continual learning, fast adaptation, memory formation, knowledge retention, and transfer learning 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 continual learning, online learning, test-time adaptation, memory architectures, meta-learning, self-improvement, and knowledge consolidation.
About you:- A PhD (or equivalent experience) in Computer Science, Robotics, Engineering, Math, or a related field.
- Have conducted research in one or more areas such as continual learning, lifelong learning, meta-learning, online learning, reinforcement learning, memory systems, model adaptation, transfer learning, 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 excited by fundamental questions around how intelligent systems acquire, retain, and use knowledge over time.
- Thrive in fast-moving, collaborative environments, and communicate technical matters with clarity.
- Take a high-ownership, "make it work" approach to problem solving.
- Publications in top-tier venues.
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)
