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Peregrine

Connects public safety data for agency teams

Applied AI Engineering Lead

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • Demonstrated experience shipping AI-powered features into production, ideally in enterprise or mission-critical environments.
  • Hands-on experience with model fine-tuning for large language models or deep learning models.
  • Practical exposure to reinforcement learning.
  • Experience designing and operating AI/ML infrastructure.
  • Direct ownership of model evaluation, experimentation, and quality measurement.
  • Strong software engineering fundamentals as a lead.

Responsibilities

  • Lead the design and deployment of customer-facing AI features across Peregrine’s platform.
  • Translate real operational problems into deployable AI-powered solutions.
  • Partner with Product, Deployment Strategists, and other Engineering teams to integrate AI into core workflows.
  • Own and guide fine-tuning strategies and reinforcement learning to improve decision quality.
  • Make principled tradeoffs among classical machine learning, deep learning, and large language model-based approaches based on accuracy, latency, and risk.
  • Shape AI infrastructure, including training and inference pipelines, model serving, versioning and rollback, and integration with real-time and batch data systems.
  • Ensure models are observable, scalable, secure, and cost-effective in production, and meet enterprise and government requirements.
  • Define and operate robust evaluation frameworks.
  • Establish quality standards that reflect real-world decision impact, not just model accuracy.
  • Own monitoring, drift detection, and failure analysis for deployed models.
  • Build and lead a high-performing Applied AI/ML team.
  • Set technical direction for applied AI across Peregrine.
  • Partner with executive leadership on AI strategy, roadmap, and responsible deployment.

Desired Qualifications

  • Experience working with large-scale and/or real-time data platforms.
  • Background in domains where trust, explainability, and reliability matter, such as public sector, security, healthcare, or finance.
  • Previous experience leading software engineering teams.

About the Company

Peregrine

Connects public safety data for agency teams

Peregrine builds data software for public safety agencies and other organizations that need to coordinate investigations, emergency response, and everyday operations. Its platform joins information from separate records systems, documents, and spreadsheets so users can search connected records and examine relationships among people, places, and events. Teams use maps, reports, and alerts to share an operational picture, while an optional AI assistant helps analyze records and prepare work products. The company sells its platform to organizations and works with their teams to configure data connections and workflows around local needs. Peregrine was founded in 2018 and is headquartered in San Francisco, California.

Company size
201-500
Company stage
Series D
Total funding
$500.1M
Headquarters
San Francisco, CA
Founded
2018

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