AI Research Scientist

• 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.

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)

At P-1 AI, we are building an AI engineer agent for the physical world named Archie. We maximize Archie’s anthropomorphism so that he fits seamlessly into existing engineering teams and workflows in the form factor of a human engineer. Archie today is at the level of a junior mechanical and electrical engineer, with a quantitative intuition over the product design space and the ability to use complex engineering tools—the same tools his human teammates use.

Archie's tech stack includes a custom agentic harness, structured design representation, continual skills learning, and small custom post-trained models (SFT and RLVR) using proprietary semi-synthetic training data sets and environments which create a deep competitive moat. Our ultimate aim is to build engineering ASI. We recently announced a $50 million Series A financing led by NEA, which added former General Electric CEO Jeff Immelt to our board.

The round also included the addition of several AI luminaries from Anthropic and Nominal to our existing angel investors from Google and OpenAI.