Build scalable full-stack applications integrating ML models for environmental impact projects like illegal fishing detection and Earth observation platforms. Requires 5+ years experience with strong ownership of production systems and close collaboration with researchers.
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Hybrid5+ YOEFullstack Engineering
About the role
Responsibilities
Build and ship high-quality, scalable full-stack products that integrate state-of-the-art ML models
Take products end-to-end: shape requirements, design architecture, deploy to external users, and iterate based on feedback
Own production systems including on-call rotations, troubleshooting, and analyzing logs/metrics
Collaborate closely with ML researchers, Product, and Partnerships teams
Work on projects like automated model development for Earth observation and multi-tenant agent orchestration platforms
Requirements
5+ years of professional software engineering experience in industry (internships and research do not count)
Experience as a generalist engineer across web applications, data pipelines, distributed systems, and modern cloud tooling
Track record of shipping production software with ownership over systems and user-facing applications
Proficiency using modern AI tooling (e.g., Claude Code, agentic workflows) to accelerate development
Ability to write clear technical plans, give/receive feedback, and guide stakeholders
Preferred Qualifications
Experience at small or growth-stage companies with end-to-end ownership
Hands-on experience deploying, monitoring, and scaling ML models in production
Strong opinions on software engineering practices including testing, code review, and build systems
Demonstrated technical depth through open-source contributions, writing, talks, or side projects
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