Hiring: Staff Software Engineer, Imaging Company: insitro Location: South San Francisco, CA Job Posted Time: 2026-09-16 12:27:00 Employment Type: Hybrid Target Skills & Keywords : Airflow, Computer Vision, Data Pipeline, Kubernetes, Machine Learning, PyTorch, Python About the job Experience: •8+ years of professional experience building and operating production-grade software and high-throughput data pipelines, primarily in Python Required Skills: •Based in South San Francisco, this position reports directly to the Director of Imaging, Cellular Machine Learning and offers an in-person hybrid schedule of three days per week. •Platform Enablement: Partner with lab and ML scientists to design, develop, and scale the platform capabilities needed to run and interpret ML-powered high-content imaging screens •User Tooling: Build and evolve robust tools and interactive interfaces for data exploration, quality assessment, and visualization so scientists can iterate quickly on experimental data •Architectural Ownership: Own complex, end-to-end projects, making thoughtful architectural trade-offs, and delivering incrementally with long-term maintainability in mind •Production Hardening: Scale and harden complex image processing and ML workflows, taking them from research prototypes to systems that reliably process millions of images per day •Data Integrity: Set and uphold best-in-class practices for data integrity, lineage tracking, reproducibility, and observability across the entire imaging data lifecycle •Documentation: Write clear, exemplary technical specifications and documentation that others build on •Scientific Translation: Work closely with lab scientists, ML scientists, and microscopy teams to translate complex experimental needs into clear, actionable technical plans and shipped software Qualifications: •Proven Tenure: 8+ years of professional experience building and operating production-grade software and high-throughput data pipelines, primarily in Python •ML Platform Depth: You have designed, built, and deployed scientific computing pipelines, visualizations, and QC processes for large-scale imaging or similarly high-dimensional datasets •Distributed Systems Stack: Hands-on experience with a Python-first ML stack, distributed compute (e.g., PyTorch/Lightning, Ray, Kubernetes), and workflow orchestration (e.g., Argo, Airflow, or redun) •End-to-End Delivery: A track record of owning complex systems from architecture through production operation •Cross-Functional Partnership: You thrive alongside scientists and excel at translating abstract research needs into practical, scalable software •Mission-Driven: You're motivated by enabling scientific breakthroughs through robust platform engineering •Force Multiplier: You enjoy mentoring and leveling up the engineers around you •Our target starting salary for successful US-based applicants for this role is $219,000 - $233,000. To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data. •This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies. •In Addition, Insitro Also Provides Our Employees Compensation: •$219,000 - $233,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!