P-1 AI
AI Research Scientist
$200K–$385K
San Francisco Bay Area · Hybrid · Full-time · Posted Jul 29, 2026
- Education
- PhD (or equivalent experience) in Computer Science, Robotics, Engineering, Math, or a related field.
About the job
Conduct applied AI research and build systems that help an AI engineering agent learn, adapt, retain knowledge, and improve over time.
What you'll do
- Research approaches to continual learning, adaptation, memory formation, knowledge retention, and transfer learning.
- Own development from data generation and evaluation through product integration.
- Shape research strategy and implement an applied research stream.
What they ask for
- Research experience in continual or lifelong learning, meta-learning, online or reinforcement learning, memory systems, model adaptation, transfer learning, or related fields.
- Fluency in Python and a modern ML stack such as PyTorch or JAX, plus distributed training frameworks.
- Creative problem-solving, clear technical communication, and a high-ownership approach.
Nice to have
- Publications in top-tier venues.
Pay
$200K – $385K USD base salary
Tools
Python, PyTorch, JAX
AI focus
Research and development for continual learning, online learning, test-time adaptation, memory architectures, meta-learning, self-improvement, and knowledge consolidation in AI systems.
Model-written summary · the original posting is authoritative