AI Research Scientist & Innovation Leader

P-1 AI; San Francisco (CA); On-site; USD 170,000 - 250,000; Full time

Benefits offered by this job

Competitive salary

Meaningful equity ownership

Healthcare

Dental

Vision

401(k) match

Unlimited PTO

Job summary

P-1 AI seeks an exceptional AI Research Scientist/Manager to push AI for the physical world. This role blends cutting-edge research with hands-on engineering, ideal for someone who thrives at the intersection of ideas and implementation.

You will own the full development pipeline from data generation to evaluation to product integration, investigate continual learning, meta-learning, memory architectures, and knowledge consolidation, and contribute to strategy and technical work.

Qualifications

• PhD or equivalent in CS/Robotics/Engineering/Math.
• Research in continual learning, lifelong learning, meta-learning, online learning, RL, memory systems, or transfer learning.
• Fluent in Python and ML stack (PyTorch/JAX); distributed training experience.
• Creative problem solving and ownership mindset.
• Publications in top-tier venues.

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; own your applied research stream.
• Investigate topics such as continual learning, online learning, test-time adaptation, memory architectures, meta-learning, self-improvement, and knowledge consolidation.

Skills

Continual learning

Meta-learning

Online learning

Reinforcement learning

Memory systems

Model adaptation

Transfer learning

Python

Education

PhD in CS/Robotics/Engineering/Math

Tools

PyTorch

JAX

Distributed training frameworks

Job description

P-1 AI seeks an exceptional AI Research Scientist/Manager to push AI for the physical world. This role blends cutting-edge research with hands-on engineering, ideal for someone who thrives at the intersection of ideas and implementation.

You will own the full development pipeline from data generation to evaluation to product integration, investigate continual learning, meta-learning, memory architectures, and knowledge consolidation, and contribute to strategy and technical work.