Overview

We’re hiring: Principal Machine Learning EngineerWe are on a mission to

redefine drug development

by building the first foundation model of microbiome-drug interactions. We’re looking for a

founding Principal Machine Learning Engineer a

hands-on technical leader ready to architect core AI systems and write production code daily.What you’ll do

Architect cloud infrastructure for distributed ML pipelines using PyTorch, including cluster management and spot instance orchestrationDesign, prototype, and train large models integrating multi-omic and clinical dataLead MLOps: CI/CD, model deployment, experiment tracking, and reproducibilityCollaborate with scientists and data engineers to translate biological data into predictive AI systemsContribute to foundational model architecture decisions and future open-source initiativesYour profile

5+ years building and deploying ML systems at scaleExpertise in PyTorch and modern ML tooling (ML Flow, Weights and Biases, Sagemaker, Ray)Experience in cloud and containerized deploymentInterest or experience in biology, bioinformatics, or healthcareProven track record of building research environments and deploying production-ready modelsWhy join?

Be a founding member of the engineering team with significant equity and full system ownershipWork on cutting-edge models at AlphaFold scale while staying hands-onDrive real-world impact on patient outcomes alongside leading scientists in microbiome researchLocation:

Flexible / Remote options availableIf you’re ready to push technical boundaries and transform drug development, this is your chance to make a real difference.

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