Senior Machine Learning Operations Engineer

Boston (1001 Boylston Street)full timeOn Site

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senior

$144k–$181k

H1B: yes

Cargurus Senior Machine Learning Operations Engineer responsible for enhancing and maintaining CarGurus’ cloud-hosted ML platform. Partner with data scientists to deploy machine learning models to production and build APIs and data pipelines integrating predictive intelligence into products.

Responsibilities

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. You will partner closely with data scientists to deploy machine learning models to production and to build and maintain the APIs and data pipelines that integrate predictive intelligence into CarGurus’ products. You will have the opportunity to contribute to systems supplying Recommendations, Search Ranking, Computer Vision, Instant Market Value, and more.
Write production-quality training jobs and inference APIs for our Python ML models, deploying them to robust scalable services
Contribute enhancements to the CarGurus ML platform, leveraging technologies such as AWS SageMaker, GitHub Actions, and Docker
Participate in systems design conversations with our data scientists and engineering partners, using your engineering expertise and experience to help them design scalable and robust systems
Develop in-house tools and libraries to standardize and accelerate the AI and ML development process
Build and integrate multi-modal AI capabilities into production ML systems
Design and build agentic AI systems and harness engineering to enable autonomous, reliable software development workflows
Own and maintain aspects of the Data Science team’s engineering infrastructure
Promote and foster an inclusive, transparent, and collaborative culture
What you’ll bring
4+ years experience writing and debugging Python code
Familiarity with software engineering tools and standard methodologies, e.g. git, unit testing, object-oriented design, containerization

Qualification

Required

4+ years experience writing and debugging Python code
Familiarity with software engineering tools and standard methodologies, e.g. git, unit testing, object-oriented design, containerization
Working understanding of the machine learning lifecycle, including model training, evaluation, deployment, and monitoring

Benefits

Vision
Equity/RSU

Company

Cargurus

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Source: greenhouse

Active within the past hour

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