Note: The job is a remote job and is open to candidates in USA. CarNow, Inc is seeking an experienced Machine Learning Engineer to take models from idea to impact. The role involves rapidly building proof-of-concept models, validating them against real business problems, and deploying them to production.
Responsibilities
- 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
Skills
- 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
- Experience with MLOps tooling (Docker, Kubernetes, MLflow, Airflow)
- Background in [NLP / computer vision / recommender systems / LLMs]
- Contributions to open-source ML projects
Benefits
- Benefits
- Equity
- PTO
- Fully remote with flexible hours
- Ownership of real ML problems from prototype through production
Company Overview