Member of Technical Staff (Research Scientist)

Anthrogen•San Francisco, CA

5d•Onsite

About The Position

Anthrogen is engineering post-modality biology by developing AI systems that design modular biological machines, alongside experimental infrastructure to instantiate them. The company is a small, high-density team in San Francisco building frontier AI and biological systems to validate it. The Research Scientist will conduct original research on the architectures, training objectives, and scaling behind Anthrogen’s models, owning a research agenda from idea to result. The role seeks researchers with strong machine-learning intuition and fundamentals, regardless of biology background. Researchers will work closely with the engineering team to turn research directions into working models and help define frontier AI for biology.

Requirements

Track record of original research, such as first-author work at NeurIPS, ICML, ICLR, AISTATS, JMLR, TMLR, or other top conferences or journals; impactful open models; or comparable research output.
Deep command of modern deep learning, including generative models, architectures, optimization, and scaling.
Ability to independently drive a research agenda from idea to experiment to result.
High agency and comfort with the ambiguity of frontier research.
Ability and willingness to work in person.

Nice To Haves

Range across subfields, or meaningful experience in an ML-for-something domain such as robotics, biology, or physics.
Widely used open-source models or research artifacts.
Familiarity with the protein-ML landscape.
Interest in biology, protein design, and AI for science.

Responsibilities

Conduct research on generative models, including diffusion and autoregressive models, as well as architectures, optimization, and scaling.
Turn research directions into working models in close collaboration with the engineering team.
Own a research agenda from idea through experimentation to results.
Help define what frontier AI for biology looks like.