Startups · AI

Member of Technical Staff (Research Engineer)

Anthrogen · San Francisco · On-site

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About Anthrogen

Backed by Y Combinator.

About the role

We're looking for exceptional engineers excited about frontier AI, especially for the sciences — irrespective of bio background. You'll build and scale the systems behind our models: distributed training, data infrastructure, and high-throughput inference, owning hard problems end to end. Biology is the domain, but this is a frontier systems job first. · Build and scale distributed training, GPU optimization, and high-throughput data pipelines.

What they're looking for

  • · You can write exceptional, production-grade code (strong Python plus a systems language), demonstrable through shipped systems, open source, or competition results
  • · Hands-on with large-scale ML systems: distributed training, GPU optimization, high-throughput data pipelines, or inference and serving at scale
  • · High-agency, in person, and willing to do whatever the problem needs
More about this role

Anthrogen is engineering post-modality biology. Today's modalities reflect historical contingencies in biological progress, not fundamental categories. We develop the AI systems that design modular biological machines — and the experimental infrastructure to instantiate them. We're a small, high-density team in San Francisco building frontier AI and the biological systems to validate it, and we care most about people who move fast, go deep, and pick up whatever the problem needs.

We're looking for exceptional engineers excited about frontier AI, especially for the sciences — irrespective of bio background. You'll build and scale the systems behind our models: distributed training, data infrastructure, and high-throughput inference, owning hard problems end to end. Biology is the domain, but this is a frontier systems job first.

· Build and scale distributed training, GPU optimization, and high-throughput data pipelines.

· Own inference and serving systems that run at scale.

· Work shoulder-to-shoulder with researchers, turning ideas into robust infrastructure.

· Take hard, ambiguous problems from zero to production and own them end to end.

· You can write exceptional,...

Read the full posting on Anthrogen's site ↗

Technical Staff

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