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Peregrine  Logo

Staff Software Engineer, Machine Learning

Peregrine

$200,000 - $275,000
Dec 18, 2025
Washington, DC, US
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Peregrine helps complex organizations solve their hardest problems with speed and accuracy by turning siloed and disconnected data into operational intelligence. The job is looking to solve the challenge of delivering differentiated value to customers through powerful, intuitive user experiences powered by generative AI.

Requirements

  • Understanding of best practices for using generative AI responsibly, with bonus experience applying LLMs to enhance user experience.
  • Knowledge of how to train, deploy, integrate, and monitor machine learning models.
  • Experience working with Python, Django, Celery, Airflow, and Kafka.
  • Experience with React, Redux, and Mapbox for frontend development.
  • Experience with PostgreSQL and Elasticsearch as data stores.
  • Experience with AWS, Pulumi, Terraform, and Kubernetes as underlying infrastructure.
  • Experience shipping and iterating on production-grade software components professionally and/or in the open-source community.

Responsibilities

  • Deliver differentiated value to customers by crafting powerful, intuitive user experiences powered by generative AI.
  • Unlock entirely new ways for users to interact with the platform.
  • Shape safe, impactful AI-driven features that help customers solve real-world problems with greater speed and ease.
  • Scale the platform to handle terabytes of data ingested from a variety of sources.
  • Efficiently query and notify users on this data in real-time.
  • Optimize search algorithms to serve results quickly.
  • Work closely with the deployment team and users to iterate and solve their problems.

Other

  • Degree in Computer Science or a related field, or equivalent experience.
  • Over 8 years of experience working with cross-functional software development teams.
  • Ability to write robust, well-tested, and well-designed code that frequently gets deployed to users.
  • Strong best practices in modern software development and comfort navigating large codebases.
  • Located in Washington, DC and open to working in office.