AI Research Scientist/Manager - Adaptive Intelligence
P-1 AI · San Francisco Bay Area · 1 wk ago
HybridEngineeringFull-time
About the role
At P-1 AI, we are building an AI engineer agent named Archie designed to fit seamlessly into existing engineering teams and workflows. Currently at the level of a junior mechanical and electrical engineer, Archie possesses a quantitative intuition over the product design space and uses complex engineering tools.
Responsibilities
- 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.
- Investigate topics such as continual learning, online learning, test-time adaptation, memory architectures, meta-learning, self-improvement, and knowledge consolidation.
Requirements
- 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.
- 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.
- 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.
Qualifications
- Publications in top-tier venues.
Skills
- Strong programming skills in Python and modern ML stack.
- Experience with distributed training frameworks.
- Knowledge of continual learning, lifelong learning, meta-learning, online learning, reinforcement learning, memory systems, model adaptation, transfer learning, or related fields.
Benefits
- Competitive salary.
- Meaningful equity ownership.
- Healthcare, dental, vision.
- 401(k) match.
- Unlimited PTO.
Pay
Competitive salary.
Schedule
Onsite in San Mateo, CA. Relocation support available.