What you'll do
Support data scientists to deploy machine learning (ML) models to production and to build and maintain the APIs and data pipelines that integrate predictive intelligence into CarGurus' products. Duties include: enhance and maintain CarGurus' cloud-hosted ML platform; support systems recommendations including search ranking, computer vision, and instant market value; develop, implement, and integrate production-quality training jobs and inference APIs for Python ML models, to build and deploy robust and scalable data; implement enhancements to ML platform, leveraging technologies such as AWS SageMaker, GitHub Actions, and Docker; support design conversations and collaborate with data scientists and engineering partners, to design scalable and robust systems; develop in-house tools and libraries to standardize and accelerate the ML development process; and maintain aspects of data science team engineering infrastructure. Multiple positions.
Who You Are:ย
Master's degree (or foreign equivalent) in Computer Science, Data Science Computer Engineering, Electrical Engineering, or a related field and two (2) years of experience in the job offered or related occupation. Position also requires two (2) years of experience with each of the following: Writing and debugging Python code; software engineering tools and standard methodologies, including Unit testing, object-oriented design, and containerization; Machine learning (ML) lifecycle, including model training, evaluation, deployment, and monitoring; Python ML ecosystem, such as scikit-learn, XGBoost, PyTorch, numpy, or pandas; Deploying, monitoring, and troubleshooting ML models in public cloud platforms, such as AWS; and SQL and cloud data warehouses, such as Snowflake.
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