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# Sr. Software Engineer - AI BioDesign

- **Company:** Allen Institute
- **Location:** Seattle, WA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $167,850.0 - $209,750.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Access, Application Programming Interfaces (APIs), Artificial Intelligence, Data Security, Software Debugging, Github, Machine Learning, Software Engineering, Management of Software Versions, Data Storage Technologies, Evaluation Pipelines, Build Process
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/sr-software-engineer-ai-biodesign-seattle-wa--c4dc055a-db4e-4a40-8174-7fcdaac10f59

## About the Role

Software Engineering, Artificial Intelligence (AI), Biology, Cross-Functional, Human Health, Risk, High Throughput, Immunology, Artificial Intelligence (AI), Software Engineering, * A bachelor's degree; or equivalent combination of education and experience

 * 5 years of relevant experience
 * Experience running/evaluating ML models and building data access APIs
 * Familiarity with build processes and CI, such as GitHub Actions

Preferred Education and Experience

 * Experience deploying AI models in biological or scientific settings
 * Experience making build versus buy technical decisions
 * Some experience optimizing models for inference
 * Some experience debugging ML training pipelines

## Description

* Build and maintain ML training and evaluation pipelines for ML models across multiple biological modalities
 * Design data storage, versioning, and access infrastructure for large-scale, in-house data
 * Develop and maintain a model zoo of relevant models
 * Working with the director to make/build versus buy decisions on training and data technical stack
 * Develop processes to support a lab-in-the-loop training paradigm

Note: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This description reflects management's assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned.