Platform ML Engineer: Production Models & Pipelines

CarGurus Early Careers; Boston (MA); Hybrid; USD 144,000 - 181,000; Full time

Benefits offered by this job

Daily free lunch

New car discount

Meditation and fitness apps

Commuting cost coverage

Flexible hybrid model

Equity for all employees

Job summary

CarGurus is seeking a Machine Learning Operations Engineer to enhance and maintain its cloud-hosted ML platform. You will deploy ML models, build APIs and data pipelines, and collaborate with data scientists to integrate predictive intelligence into CarGurus’ products.

You’ll work with AWS, SageMaker, Docker, and CI/CD tooling to design scalable systems for Recommendations, Search Ranking, Computer Vision, and more, while promoting an inclusive, collaborative culture.

Qualifications

• 4+ years of experience writing and debugging Python code.
• Familiarity with software engineering tools and standard methodologies (git, unit testing, OO design, containerization).
• Understanding of the ML lifecycle: training, evaluation, deployment, monitoring.

Responsibilities

• Write production-quality training jobs and inference APIs for Python ML models.
• Deploy models to production and build/maintain APIs and data pipelines.
• Collaborate with data scientists to design scalable and robust ML systems.

Skills

Python

Git

Unit testing

Containerization

OO design

ML lifecycle

AWS

Snowflake

PyTorch

scikit-learn

XGBoost

NumPy

Pandas

SQL

Tools

AWS SageMaker

Docker

Job description

CarGurus is seeking a Machine Learning Operations Engineer to enhance and maintain its cloud-hosted ML platform. You will deploy ML models, build APIs and data pipelines, and collaborate with data scientists to integrate predictive intelligence into CarGurus’ products.

You’ll work with AWS, SageMaker, Docker, and CI/CD tooling to design scalable systems for Recommendations, Search Ranking, Computer Vision, and more, while promoting an inclusive, collaborative culture.