Staff ML Engineer, Life Sciences AI
Core
Building software infrastructure and pipeline orchestration for protein design and engineering campaigns, connecting generative models and scientific data to experimental workflows.
Role type
Staff ML Engineer (Infrastructure & Orchestration)
Builds
Scalable production pipelines, APIs, data flow systems, and orchestration platforms for protein design and engineering.
Domain
Life Sciences / Protein Design / Molecular Engineering
Deliverable
production ML models
Required skills
System design, Python, scalable production systems, CI/CD, observability, containerization, infrastructure-as-code, cloud infrastructure, technical leadership, cross-functional partnership
Preferred skills
Protein design and engineering infrastructure, biological data formats, bioinformatics tooling, ML training/inference integration, open-source contributions
Technologies
Python, Cloud providers, Containerization platforms, Infrastructure-as-code tools
Responsibilities
Architect and build software infrastructure for protein design pipelines; Own the engineering side of the 'Lab-in-the-Loop' lifecycle; Onboard new tools and methods into production systems; Partner cross-functionally to translate research code into scalable systems; Set engineering standards and mentor senior engineers; Diagnose and resolve reliability and scaling bottlenecks in production pipelines.
Seniority
Staff, hands-on IC with technical leadership