Member of Technical Staff (Research Engineer)

Anthrogen•San Francisco, CA

5d•Onsite

About The Position

Anthrogen is a small, high-density team in San Francisco developing AI systems to design modular biological machines and experimental infrastructure to instantiate them. The company describes the role as a frontier systems engineering position focused on AI for the sciences; a biology background is not required. The successful candidate will build and scale systems behind Anthrogen’s models, including distributed training, data infrastructure, and high-throughput inference, and will own complex problems end to end.

Requirements

Write exceptional, production-grade code, with strong Python skills and proficiency in a systems language; demonstrate this through shipped systems, open-source work, or competition results.
Have hands-on experience with large-scale machine-learning systems, such as distributed training, GPU optimization, high-throughput data pipelines, or inference and serving at scale.
Be high-agency, work in person, and be willing to take on whatever the problem requires.

Nice To Haves

A track record of shipping research infrastructure or working closely with researchers.
An AI-native workflow and the ability to gain meaningful leverage from AI coding tools.
Competitive programming or olympiad experience, such as IOI, ICPC, or Putnam.
Meaningful open-source contributions to machine-learning infrastructure, such as PyTorch, JAX, or CUDA.
Genuine interest in biology and AI for science.

Responsibilities

Build and scale distributed training, GPU optimization, and high-throughput data pipelines.
Own inference and serving systems that run at scale.
Work closely with researchers to turn ideas into robust infrastructure.
Take hard, ambiguous problems from zero to production and own them end to end.