Machine Learning Engineer

About the Role:

You'll own the full lifecycle of machine learning at ServiceUp, from exploration and model development through production deployment and iteration. You'll collaborate closely with product, design, and engineering to identify where ML can create value and translate model outputs into features customers use. Our data stack today includes PostgreSQL, BigQuery, and Hex, but this is our first dedicated ML hire. We'll look to you to help shape the ML tooling and infrastructure.

What You'll Do:

• Own and expand the model portfolio. Drive the ML engineering process from idea to production.
• Define success metrics and evaluation frameworks for each model.
• Productionize ML models. Take experiments to production with real-time inference, monitoring, retraining pipelines, and phased rollouts with feature flags and guardrails.
• Build and evaluate classifiers with rigorous offline and online methods.
• Design feature engineering pipelines across repair orders, shop performance, fleet behavior, vehicle attributes, and cost benchmarks.
• Own model evaluation including cross validation, XAI, confidence calibration, bias detection, A/B testing, and shadow mode comparison against human decisions.