Senior Production ML Engineer — AI Systems

Checkr, Inc.; San Francisco (CA); On-site; USD 207,000 - 244,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

Equity compensation

Relocation stipend

Fertility/adoption reimbursement

Learning and development allowance

Flexible PTO

Job summary

Checkr, Inc. seeks an ML Engineer (P3) to build and ship AI systems powering our core products. This role sits in the Data & ML team within Engineering, focusing on production services for document processing, classification, and entity resolution.

You will own ML services end-to-end: design, code, deploy, monitor, and scale with LLMs and APIs. This is not a notebook role; you’ll ship production software and collaborate with product engineering and cross-functional teams in a fast-paced,

Qualifications

• Bachelor's or Master’s degree in Computer Science or related field, or equivalent experience.
• 6+ years building software, with at least 2 in ML systems in production.
• Strong Python fluency; production-grade code, OOP, testing.
• Experience building/maintaining APIs and CI/CD pipelines.
• Familiarity with AI-assisted workflows; experience using LLMs in production.

Responsibilities

• Build and deploy ML/AI services relied on by product teams.
• Design with LLMs and APIs; manage cost, latency, and quality.
• Ship production software with clean code, tests, and proper abstractions.
• Collaborate with product and engineering; translate problems into ML solutions.
• Iterate quickly with evaluation frameworks and data-driven decisions.
• Develop AI-powered workflows and agentic capabilities for Checkr's platform.

Skills

Python

LLM APIs

CI/CD

API design

Production software

Education

BS in CS

MS in CS

Tools

Ruby

Job description

Checkr, Inc. seeks an ML Engineer (P3) to build and ship AI systems powering our core products. This role sits in the Data & ML team within Engineering, focusing on production services for document processing, classification, and entity resolution.

You will own ML services end-to-end: design, code, deploy, monitor, and scale with LLMs and APIs. This is not a notebook role; you’ll ship production software and collaborate with product engineering and cross-functional teams in a fast-paced,