Join Anthrogen.com as a Research Engineer to bridge the gap between biological data and machine learning. You will focus on the engineering challenges of pre-training, inference, and model interpretability. This role is designed for exceptionally bright engineers who want to apply a research-focused lens to complex technical problems in the biotech space.
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Research Engineer (Member of Technical Staff) at Anthrogen
Join Anthrogen.com in San Francisco as a Research Engineer and work at the cutting edge of AI and biology. We are seeking brilliant graduates from elite programs like MIT and Caltech with experience in frontier labs. You will lead efforts in pre-training, inference, and model interpretability to solve complex biological challenges. This is a rare opportunity to join a high-talent team where your engineering skills directly drive scientific breakthroughs. If you thrive on research-driven engineering at a high-growth startup, we want to hear from you.
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Location
San Francisco, United States
Compensation
Not Disclosed
Company
Anthrogen
Role overview
Biotechnology
Anthrogen is a biotechnology startup developing protein foundation models through artificial intelligence and deep learning to design new-to-nature peptides and proteins. Their technology unlocks the ability to generate novel molecular machines with atomic precision, significantly accelerating the discovery of therapies, ultra-efficient catalysts for sustainable manufacturing, and other molecular innovations.
What you will do
- Design and implement scalable systems for pre-training large-scale models and optimizing inference performance for complex biological datasets.
- Develop sophisticated tools and methodologies for model interpretability to better understand and guide the learning process of frontier AI.
- Collaborate closely with the research team to translate theoretical advancements into robust, production-ready engineering solutions.
Who this is a fit for
- Holds a degree in Computer Science from a top-tier program (e.g., MIT, Caltech), with an ideal background or double major in Biology.
- Possesses 1-2 years of professional experience working in a frontier research lab or a high-growth, research-focused startup environment.
- Demonstrates exceptional technical proficiency in machine learning frameworks and a deep understanding of model architecture, training, and deployment.
Why this role is remarkable
- Work at the intersection of biology and AI with a team of elite researchers and engineers in the heart of San Francisco.
- Engage in high-impact work involving the pre-training and interpretation of frontier models that push the boundaries of current scientific capabilities.
- Join a high-talent environment where you will collaborate directly with founders and top-tier graduates from world-renowned institutions like MIT and Caltech.
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