Overview
Direct message the job poster from Generative
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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