Skip to main content

Machine Learning Engineer - AI Services | Checkr

Summary by AIEngineer.careers

Machine Learning Engineer - AI Services | Checkr is a Machine Learning Engineer role (full-time). with Checkr. in DENVER, US. Compensation shown: $176K–$244K. Imported listing (source: thebriefed.co). Apply on the employer's site (thebriefed.co).

Imported listing (source: thebriefed.co) · Apply on thebriefed.co

How our listings work

DENVER · US
$176K–$244K
Full-time
SENIOR
Apply Now

More AI jobs in United States

The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.

Imported job description

Sourced from thebriefed.co

Checkr is hiring a Machine Learning Engineer (P3) on its central Data & ML team to build and ship production AI systems powering core verification products such as document processing, charge classification, and entity resolution. This hands-on role owns end-to-end ML microservices—model design, Python APIs, monitoring, evaluation benchmarks, and CI/CD deployment. You will integrate commercial LLM APIs alongside classical ML and rule-based systems to deliver cost-effective, low-latency AI features and contribute to Checkr's agentic platform.

Responsibilities

  • Design, code, test, deploy, and monitor production-grade ML microservices with clean Python APIs and comprehensive tests
  • Integrate commercial LLM APIs (OpenAI, Anthropic) using prompt engineering, structured outputs, function calling, and fine-tuning
  • Build agentic workflows, automated pipelines, and reusable context skills for Checkr's internal agentic platform
  • Build evaluation frameworks and run offline/online experiments to optimize model accuracy, precision, and cost
  • Partner with Product Engineering, Product Managers, and Data teams to translate business problems into scalable ML solutions

Requirements

  • Bachelor's or Master's degree in Computer Science, Mathematics, or a related quantitative field (or equivalent experience)
  • 6+ years of professional software engineering experience, including 2+ years architecting and deploying ML/AI systems in production
  • Strong Python fluency with solid object-oriented programming instincts
  • Hands-on experience integrating LLM APIs in production (structured outputs, function calling, prompt design, evaluation, cost optimization)
  • Proven experience building REST/gRPC APIs and operating CI/CD pipelines
  • Comfort using modern AI coding tools (Copilot, Claude, Cursor) with deep code comprehension

Nice to Have

  • Experience with production MLOps platforms (MLflow, AWS SageMaker, Vertex AI, or custom equivalents)
  • Background in document processing, OCR, or information extraction pipelines
  • Experience processing large-scale datasets with PySpark or distributed compute
  • Working knowledge of Ruby on Rails
  • Experience in compliance-sensitive or regulated industries (HR tech, legal tech, fintech)
  • Experience with dbt and Snowflake

Benefits

Equity / stock optionsmedical insurancedental insurancevision insurancefertility benefitsParental leavecommuter stipendrelocation assistancecatered mealsflexible ptowellness stipendlearning stipend

Tech Stack

AnthropicAWS SageMakerCI/CDDBTFine-tuninggRPCLLM APIsMLflowOCROpenAIPrompt EngineeringPySparkPythonRESTRuby on RailsSnowflakeVertex AI
Checkr

Checkr

San Francisco · US · 1832+ employees

Checkr is an AI-powered verification platform providing fast background checks for employment and tenant screening. It helps businesses and individuals make confident decisions by decoding complex information about identity and credentials.

Weekly job alert

Get a weekly email when new AI engineering jobs match your filters. Free — confirm your address to start.

Related Jobs