Design, develop, and test robust, scalable scientific web applications, backend systems, and cloud-native architectures that power AI/ML workflows and build foundational AgentOps capabilities.
The expected salary range for this position based on the primary location of San Franscico, CA is $168,100- $312,300 Annual.
- Design, develop, and test robust, scalable scientific web applications, backend systems, and cloud-native architectures that power AI/ML workflows.
- Build foundational AgentOps capabilities—including evaluation frameworks, observability, secure execution environments, memory/retrieval systems, and model routing—to deploy and operate AI agents at scale.
- Establish AI data readiness capabilities by structuring, validating, and standardizing diverse scientific datasets to ensure reproducibility, traceability, and trustworthiness.
- Develop tooling to evaluate AI/ML model performance and define new metrics for assessing AI output quality.
- Partner directly with product managers, computational scientists, and research teams to translate complex scientific challenges into actionable technical specifications.
- Bachelor’s degree with 5+ years of relevant experience
- Master’s degree with 3+ years of relevant experience
- Nice to have: biological data
- Nice to have: scientific imaging
- Nice to have: life sciences research environment
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