We’re building something bold in the heart of Palo Alto!

Up and coming hiring needs: 

Research Scientists across multiple specialties, from ML systems to theory, neuroscience, and safety. 

Whether you're deep in academia or already hands-on in industry, if you’re excited about foundational AI research and real-world impact, we’d love to hear from you.

All roles require:

A PhD (or equivalent experience) in Machine Learning, NLP, Computer Vision, or a related field

• Solid understanding of ML + statistical methods
• Proven experience with JAX, PyTorch, or TensorFlow
• A strong publication record in areas such as foundational models, ML+Systems, optimization, NLP, CV, or theory
• Ability to identify research questions, experiment, and innovate
• Collaborative, cross-functional mindset

Experience training large models is ideal (not required for theory roles).

Hiring across the following research tracks:

• Systems-level programming (Rust, C++, OpenMP, MPI)
• Distributed training, concurrency, parallelism
• Sparse/low-precision training, MoE, optimization algorithms

• RNNs / state-space models
• Continual learning, active learning, causality, reasoning, data sparsity

RNNs not required if you're strong in the rest.

• Background in Theoretical CS or Math
• Publications in complexity theory, formal language theory, or nonlinear dynamics

• Experience modeling biological processes
• Familiarity with spiking neural networks or biologically plausible algorithms

• Research experience in AI explainability, robustness, and alignment

We’re especially eager to speak with those who bring 5+ years of research experience in industry or academic labs.

We're hiring thoughtfully. Timelines are flexible—this may be a match in a few weeks or a few months. Reach out early if you're curious.