Machine Learning Engineer

CarNow, Inc · Remote About the RoleWe're looking for an experienced Machine Learning Engineer to take models from idea to impact. You'll rapidly build proof-of-concept models, validate them against real business problems, and then do the hard part well—taking them all the way to production. This is a fully remote role for someone who's shipped ML systems before and knows what it takes to make them reliable at scale.What You'll DoRapidly prototype proof-of-concept models to test hypotheses and validate business valueBuild, train, and tune models using algorithms like XGBoost, gradient boosting, and other classical/deep learning approachesTake POCs all the way to production—deployment, monitoring, retraining, and optimizationDesign and maintain robust data and model pipelinesPartner with product, data, and engineering teams to define problems and deliver measurable resultsWrite clean, well-tested, production-grade Python codeWhat We're Looking For5+ years of experience building and shipping ML models to productionStrong programming skills in Python and its core ML ecosystem (NumPy, pandas, scikit-learn, XGBoost, PyTorch and/or TensorFlow)Proven track record of moving models from proof-of-concept to productionSolid grasp of ML fundamentals: feature engineering, model training, evaluation, and tuningExperience with data pipelines, APIs, and cloud platforms (AWS / GCP / Azure)Strong problem-solving skills and clear communication with technical and non-technical partnersNice to HaveExperience with MLOps tooling (Docker, Kubernetes, MLflow, Airflow)Background in [NLP / computer vision / recommender systems / LLMs]Contributions to open-source ML projectsWhy Join UsCompetitive compensation: $180K–$200K plus [benefits, equity, PTO]Fully remote with flexible hoursOwnership of real ML problems from prototype through production