Innovation: innovate on our product to co-design algorithms that react real-time to product signal and feedback. Design new ways of giving feedback that drive better algorithms.
Cross-Stack Optimization: Collaborate across software, hardware, and algorithmic domains to achieve system-wide efficiency gains
Measure what matters: We believe strongly that the ultimate signal of value is whether we have real world impact. Our current algorithms are capable of interacting with the world which is why product matters so much.

A PhD or equivalent research experience in a computer science field
4-5+ years of industry experience
Deep expertise in at least one area: model efficiency, real time alignment or algorithmic optimization
Systems thinking ability to understand and optimize across the full ML stack
Strong programming skills in Python. Experience with deep learning frameworks (PyTorch, JAX, TensorFlow)
Knowledge of model optimization techniques (RLHF, finetuning)
Experience in an industry lab with computing at scale

Flexible work: In-person collaboration in the Bay Area, a distributed global-first team, and quarterly offsites.
Adaption Passport: Annual travel stipend to explore a country you've never visited. We're building intelligence that evolves alongside you, so we encourage you to keep expanding your horizons.
Lunch Stipend: Weekly meal allowance for take-out or grocery delivery.
Well-Being: Comprehensive medical benefits and generous paid time off.

Research Scientist

Key skills