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CarGurus

Senior Machine Learning Operations Engineer

CarGurus · Boston, Massachusetts, United States

Posted 29 days ago

or apply directly on CarGurus's site. We never take the application ourselves.

Is this posting real?

This role has been open
29 days
CarGurus's roles stay open a median of 45 days
Reposted
No
Salary listed
No
0% of CarGurus's roles list one
Ghost-job risk at CarGurus
high
34 stale, 0 reposted of 54 open
Hiring momentum
69 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from CarGurus's own greenhouse board since 2026-08-03. Full hiring picture for CarGurus.

About this role

As a Senior Machine Learning Operations Engineer at CarGurus, you will enhance and maintain the cloud-hosted machine learning platform, collaborating closely with data scientists to deploy models and build APIs and data pipelines. Your role will involve writing production-quality code, contributing to system design, and developing tools to standardize the AI/ML development process, while promoting a collaborative culture within the team.

Our read on this posting3.4out of 5
benefits
5/5
freshness
4/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of CarGurus as an employer.

What you need

  • 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
  • A working understanding of the machine learning lifecycle, including model training, evaluation, deployment, and monitoring
  • Familiarity with the Python ML ecosystem (e.g. scikit-learn, XGBoost, PyTorch, numpy, pandas)
  • Experience deploying, monitoring, and troubleshooting AI & ML models in a public cloud (we use AWS)
  • Exposure to a variety of AI & ML systems in production, including regression and classification on tabular data, image models, language models, and agentic systems

What you get

  • Equity for all employees
  • Career development programs
  • Corporate giving programs
  • Employee resource groups (ERGs)
  • Flexible hybrid model
  • Robust time off policies

Worth weighing

  • No specific mention of remote work options beyond hybrid model
  • Position may require in-person interviews, with travel expenses covered by the candidate
  • Salary range provided is broad, individual pay determined by various factors

Summarised from CarGurus's posting. Read the full original.

Listed by CarGurus on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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