Senior Machine Learning Engineer

Join Checkr as a Senior Machine Learning Engineer, where you'll build and deploy ML/AI services, design and develop ML models and AI systems, and partner with product and engineering teams. You'll write clean, well-structured code, evaluate and iterate quickly, and ship AI-powered workflows. Enjoy benefits like parental leave, stock options, work from home opportunities, comprehensive health plans, competitive compensation, and more.

• Concevoir, développer et expédier des modèles de ML et des systèmes d'IA qui sont utilisés par les équipes d'ingénierie produit.
• Utiliser les API LLM (OpenAI, Anthropic, etc.) comme éléments de base dans les systèmes de production, en sachant quand appeler un LLM, quand le peaufiner, quand utiliser un modèle classique.
• Écrire un code propre, bien structuré avec une solide POO, des abstractions appropriées, une gestion des erreurs et des tests.

• Strong Python fluency; you write clean, testable, well-structured code with solid OOP instincts. Hands-on experience using LLM APIs in production systems: prompt engineering, structured outputs, function calling, cost management, and evaluation
• You use AI tools (Copilot, Claude, etc.) to move faster, but you understand every line they produce. You can spot AI slop and you don’t ship it
• 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
• A Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field, or equivalent depth from experience
• 6+ years building software professionally, with at least 2 of those building ML systems that run in production
• You’ve built and maintained APIs, worked with CI/CD pipelines, and shipped code that other engineers depend on
• An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes
• Experience with MLOps platforms (MLflow, SageMaker, Vertex, or similar)
• Background in document processing, OCR, or information extraction
• Ruby experience (Checkr’s platform runs on Rails)
• Experience with PySpark or large-scale data processing
• Familiarity with compliance-sensitive domains (fintech, legal tech, HR tech)
• Working knowledge of dbt, Snowflake, or modern ELT/data transformation tools