Senior Machine Learning Engineer

Join Checkr, a leading background check company, as a Senior Machine Learning Engineer. In this role, you will build and ship AI systems that power Checkr's core products. You will own ML services end-to-end, design and develop ML models and AI systems, and partner with product and engineering teams. This is a hands-on role that requires strong engineering skills and a passion for AI-assisted workflows.

Utiliser des API LLM telles qu'OpenAI et Anthropic comme éléments de base dans les systèmes de production, et décider quand appeler un LLM.

Traduire les problèmes commerciaux en solutions d'apprentissage automatique, définir les contrats d'API avec les ingénieurs produit.

Responsibilities

• Concevoir, développer et expédier des modèles d'apprentissage automatique et des systèmes d'IA qui sont utilisés par les équipes d'ingénierie produit.
• Experience building and maintaining APIs, working with CI/CD pipelines, and shipping code that other engineers depend on

Requirements

• A Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field, or equivalent depth from experience

Ruby experience

• An A-player mindset with a strong bias for action: raises the bar, moves with urgency, stays resilient through ambiguity, and takes ownership to deliver meaningful outcomes
• Comfort with and enthusiasm for AI-assisted workflows; experience using LLMs, code-generation tools, or agentic systems in production or operational contexts is a strong signal
• Ability to use AI tools such as Copilot or Claude to move faster while understanding every line they produce and identifying AI slop

Experience with PySpark or large-scale data processing

• Strong Python fluency; ability to write clean, testable, well-structured code with solid OOP instincts
• 6+ years building software professionally, with at least 2 of those years building ML systems that run in production
• Background in document processing, OCR, or information extraction
• Hands-on experience using LLM APIs in production systems, including prompt engineering, structured outputs, function calling, cost management, and evaluation

Preferred

• Working knowledge of dbt, Snowflake, or modern ELT/data transformation tools
• Familiarity with compliance-sensitive domains such as fintech, legal tech, or HR tech
• Experience with MLOps platforms such as MLflow, SageMaker, or Vertex

Pay

USD 176,000 - 244,000