Research Scientist, Pre-training Research

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Chaidiscovery Research Scientist at Chai Discovery focusing on foundation model pre-training for molecular design. Work involves designing model architectures, training objectives, and data mixes to advance drug discovery AI.

Responsibilities

We are hiring research scientists to work on foundation model pre-training. Our models learn the foundations of molecular structure and interaction, and their success depends on carefully designed architectural components, training objectives, and data mixes.
At Chai, pre-training research is largely domain-agnostic: understanding model architecture, reading training curves, and knowing when to move between phases of a recipe. We are biased toward simplification, generality, and scale. We adapt the best ideas from frontier language, image, and video models into our domain.
Our models have moved beyond protein structure prediction into real-world therapeutic engineering, and you will have the compute and the team to push that further.

Qualification

Depth in generative modellingTheoretical grounding in CSWe are happy to bet on rising talent

Required

We look for researchers with a strong track record, which can take many forms: getting a model to work, developing impactful theory, or making a substantial contribution to the field. In particular we look for:
Depth in generative modelling, model architecture, or scaling laws.
Hands-on experience designing and training large models.
Theoretical grounding in CS, ML, math, or physics.
We are happy to bet on rising talent.