What are the responsibilities and job description for the Machine Learning Engineer position at CarNow?
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