Staff ML Engineer (Life Sciences AI)

TL;DR

Staff ML Engineer (Life Sciences AI): Building software infrastructure for protein design and engineering pipelines with an accent on orchestration, data flow, and integration with experimental systems. Focus on owning the "Lab-in-the-Loop" lifecycle, translating research code into scalable production systems, and setting engineering standards.

Location: San Francisco, CA USA

Salary: $162,800 - $200,200 USD

Company

hirify.global is building Scientific Superintelligence™ to accelerate discovery across medicine, materials, and energy using autonomous AI systems.

What you will do

• Architect and build software infrastructure for protein design pipelines, including orchestration and APIs.
• Own the "Lab-in-the-Loop" lifecycle, connecting computational outputs to experimental inputs and feeding results back.
• Translate research code from AI scientists into production-ready, scalable systems.
• Set engineering standards for CI/CD, testing, observability, and reproducibility.
• Mentor senior engineers and lead technical direction across multiple systems.
• Diagnose and resolve performance and scaling bottlenecks in production pipelines.

Requirements

• Master's or Bachelor's degree in Computer Science, Machine Learning, or a related quantitative field.
• 8+ years of professional software engineering experience in Python.
• Proven experience designing and operating scalable production systems (APIs, data pipelines, cloud infra).
• Strong fundamentals in system design, production-grade code, and observability.
• Experience with scientific or ML-adjacent infrastructure, such as workflow orchestration.
• Hands-on experience with containerization and infrastructure-as-code on major cloud providers.

Nice to have

• Experience in protein design, antibody engineering, or molecular ML applications.
• Familiarity with biological data formats and bioinformatics tools.
• Integration of ML training/inference systems with scientific platforms.
• Open-source contributions to scientific computing or data infrastructure projects.

Culture & Benefits

• Competitive base compensation with bonus potential and generous early-stage equity.
• U.S. and International benefits packages.
• High-velocity startup environment tackling historic scientific challenges.
• Company culture based on truth, trust, curiosity, grit, and velocity.