Machine Learning Engineer

CarNow, Inc · Remote

About the Role

We'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 Do

• Rapidly prototype proof-of-concept models to test hypotheses and validate business value
• Build, train, and tune models using algorithms like XGBoost, gradient boosting, and other classical/deep learning approaches
• Take POCs all the way to production—deployment, monitoring, retraining, and optimization
• Design and maintain robust data and model pipelines
• Partner with product, data, and engineering teams to define problems and deliver measurable results
• Write clean, well-tested, production-grade Python code

What We're Looking For

• 5\+ years of experience building and shipping ML models to production
• Strong 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 production
• Solid grasp of ML fundamentals: feature engineering, model training, evaluation, and tuning
• Experience with data pipelines, APIs, and cloud platforms (AWS / GCP / Azure)
• Strong problem-solving skills and clear communication with technical and non-technical partners

Nice to Have

• Experience with MLOps tooling (Docker, Kubernetes, MLflow, Airflow)
• Background in [NLP / computer vision / recommender systems / LLMs]
• Contributions to open-source ML projects

Why Join Us

• Competitive compensation: $180K–$200K plus [benefits, equity, PTO]
• Fully remote with flexible hours
• Ownership of real ML problems from prototype through production