Startups · AI

Senior Engineering Manager, Machine Learning

Checkr · San Francisco, California, United States · On-site

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About Checkr

Backed by Accel, Y Combinator and GV.

About the role

This is an engineering leadership role, not a research-management role: you will lead ML engineers across seniority levels, stay close enough to the work to set technical direction, and hold the team accountable for production outcomes. You will decide where ML should continue to create a strategic advantage for Checkr.

What they're looking for

  • 10+ years building software and machine learning or AI systems, with a clear progression in scope and impact
  • 3+ years managing ML or software engineers, including hiring and developing senior and staff-level technical leaders
  • A strong software-engineering foundation and a record of shipping ML systems that run in production
  • Technical depth across the ML lifecycle: data and labeling, experimentation, model selection, deployment, APIs, CI/CD, observability, evaluation, retraining, and incident response
  • Sound judgment across classical ML, deep learning, LLMs, rules, and conventional software
  • Experience setting direction for NLP, classification, extraction, entity resolution, risk, fraud, recommendation, or similarly complex applied-ML domains
More about this role

About Checkr

Checkr is building the data platform to power safe and fair decisions. Over 140,000 companies and millions of people rely on Checkr for AI verification in the moments that matter most: getting a new job, a new place to live, a car ride, childcare, even a date. Customers include Uber, Pennymac, Airbnb, Doordash, and Anthropic.

We’re a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company .

We are hiring a Senior Engineering Manager to lead the Machine Learning Engineering team inside Checkr’s Data & ML organization. This team sits at the heart of our product's strategic advantage, making millions of background checks faster, more accurate, and more trustworthy.

  • Core product intelligence: NLP and classification systems, entity resolution, profile integrity, model accuracy, and the production services that power Checkr’s products.
  • Workforce integrity: resume and identity fraud, multi-signal risk detection, and new products that help customers identify sophisticated hiring fraud
  • ML and agent infrastructure: evaluation...

Read the full posting on Checkr's site ↗

Engineering

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