Principal ML Architect

2 weeks ago

South San Francisco, California, United States Strativ Group Full time $150,000 - $250,000 per year


Cloud ML Software Architect – Cutting-Edge Biotech + AI Startup

A fast-growing biotech startup is on a mission to reinvent how medicines are discovered. Instead of relying solely on traditional lab testing, this team is building virtual models of human cells—powered by AI—to predict how drugs will work on real patients. Backed by top investors and already partnered with industry leaders like NVIDIA, they've raised over $40M to date and are scaling rapidly.


Location:
South San Francisco (preferred) or Toronto


Stage:
Series A ($30M+) | ~20 employees and growing

Why this role?

The company is expanding from research tools into scalable, production-ready platforms—and they need a
Cloud Software Architect
with proven experience
with
Python Coding & AWS
with experience
supporting heavy-duty ML Workflows / intensive data processing for ML Model Training
to lead the way. You'll be the technical backbone bridging data engineering, bioinformatics, software and machine learning teams, ensuring their software ecosystem is robust, cohesive, and ready to scale.

What you'll do:

  • Act as a
    hands-on technical leader
    : not just writing code, but setting frameworks, architecture, and best practices.
  • Own
    cloud infrastructure
    (AWS is core; exposure to GPU compute, Docker & Kubernetes too)
  • Build bridges across teams, aligning ML, bioinformatics, and software engineering efforts.
  • Guide junior engineers and bioinformatics developers while shaping long-term technical strategy.
  • Help transition the company from fragmented pipelines to production-grade, external-facing products.
  • Influence resourcing and scaling decisions—your input will shape the future of the engineering org.

About you:

  • Strong background in
    cloud architecture
    , especially AWS (EC2, S3, Batch, pipelines).
  • Hands-on coding experience
    in python
    plus the seniority to set direction and frameworks.
  • Proven exp in
    complex, data voluminous environments, with a keen interest in Bio/Science
    (bio/health/AI/ML is a bonus, but not required).
  • Familiar with heavy duty
    ML workflows
    and how compute and data pipelines support them.
  • Thrives in a
    startup setting
    —fast-paced, resource-constrained, but high-impact.
  • Excited by the mission of accelerating drug discovery through AI.E
  • Exp supporting computationally-
    intensive data processing
    and ML model training

Perks & Benefits:

  • Competitive compensation
  • Unlimited PTO
  • Healthcare, 401k, FSA, commuter reimbursement
  • H1B transfer and TN visa sponsorship available
  • Hybrid: ~3 days/week in office (South SF or Toronto)

If you have a passion for
biotechnology/life sciences
already, have
worked closely with ML Teams and ML Workload,s
and can
code in python
with exp in AWS, please send your resume directly to

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