Machine Learning Engineer

Overview

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We 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 orchestration
• Design, prototype, and train large models integrating multi-omic and clinical data
• Lead MLOps: CI/CD, model deployment, experiment tracking, and reproducibility
• Collaborate with scientists and data engineers to translate biological data into predictive AI systems
• Contribute to foundational model architecture decisions and future open-source initiatives

Your profile:

• 5+ years building and deploying ML systems at scale
• Expertise in PyTorch and modern ML tooling (ML Flow, Weights & Biases, Sagemaker, Ray)
• Experience in cloud and containerized deployment
• Interest or experience in biology, bioinformatics, or healthcare
• Proven track record of building research environments and deploying production-ready models
• Be a founding member of the engineering team with significant equity and full system ownership
• Work on cutting-edge models at AlphaFold scale while staying hands-on
• Drive real-world impact on patient outcomes alongside leading scientists in microbiome research

If you’re ready to push technical boundaries and transform drug development, this is your chance to make a real difference.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• IT Services and IT Consulting

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