Machine Learning Operations Engineer - Remote

Overview

As a core member of the Machine Learning Platform team, the Machine Learning Operations Engineer will be responsible for enhancing and maintaining CarGurus’ cloud-hosted ML platform.

In Short

• Write production-quality training jobs and inference APIs for Python ML models.
• Contribute enhancements to the CarGurus ML platform using AWS SageMaker, GitHub Actions, and Docker.
• Participate in systems design conversations with data scientists and engineering partners.
• Develop in-house tools and libraries to standardize the ML development process.
• Own and maintain aspects of the Data Science team’s engineering infrastructure.
• Promote an inclusive, transparent, and collaborative culture.

Requirements

• 2-3 years experience writing and debugging Python code.
• Familiarity with software engineering tools and methodologies (e.g., git, unit testing).
• A working understanding of the machine learning lifecycle.
• Familiarity with the Python ML ecosystem (e.g., scikit-learn, XGBoost).
• Experience deploying ML models in a public cloud (AWS).
• Knowledge of SQL and familiarity with cloud data warehouses (Snowflake).

Benefits

• Best-in-class benefits and compensation, including equity for all employees.
• Flexible hybrid model and robust time off policies.
• Daily free lunch, new car discount, and wellness apps.
• Career development programs and employee resource groups.
• Supportive and inclusive work environment.