Staff Software Engineer, Imaging
Responsibilities
- 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 & Data Integrity: Scale and harden complex image processing and ML workflows, taking them from research prototypes to systems that reliably process millions of images per day. 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.
- Cross-Functional Partnership: Work closely with lab scientists, ML scientists, and microscopy teams to translate complex experimental needs into clear, actionable technical plans and shipped software.
- Mentorship: Raise the technical bar across the team by sharing knowledge and mentoring other engineers.
Requirements
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.
About You
Core Competencies: Cross-Functional Partnership, Mission-Driven, Force Multiplier.
Compensation & Benefits
At Insitro, 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 with a 401(k) plan with employer matching for contributions, excellent medical, dental, and vision coverage as well as mental health and well-being support, an open, flexible vacation policy, paid parental leave of at least 16 weeks to support parents who give birth, and 10 weeks for a new parent (inclusive of birth, adoption, fostering, etc), quarterly budget for books and online courses for self-development, a new hire stipend for home office setup, monthly cell phone & internet stipend, access to free onsite baristas and daily lunch for employees who are either onsite or hybrid, and access to a free commuter bus network that provides transport to and from our South San Francisco HQ from locations all around the Bay Area.
Insitro is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. We believe diversity, equity, and inclusion need to be at the foundation of our culture. We work hard to bring together diverse teams–grounded in a wide range of expertise and life experiences–and work even harder to ensure those teams thrive in inclusive, growth-oriented environments supported by equitable company and team practices.