Pay
Lower than most similar jobs
$144K–$181K against $166K–$240K, the middle half of what similar US postings state.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Senior Machine Learning Operations Engineer
Boston, Massachusetts, United States
Open 6 months, first seen by us 204 days ago- Pay
USD 144,000–181,000/yearAnnual period assumed — pay source
Position Pay Range $144,000—$181,000 USD Working at CarGurus
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingAs 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.
Write training jobs and inference APIs for Python ML models and deploy them to scalable services
Enhance the ML platform using AWS SageMaker, GitHub Actions and Docker
Join systems design talks with data scientists and engineers to shape scalable designs
Build in-house tools and libraries to speed up AI and ML development
Design and build agentic AI systems for autonomous software development workflows
From the employer’s posting
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
Develop in-house tools and libraries to standardize and accelerate the AI and ML development process
Design and build agentic AI systems and harness engineering to enable autonomous, reliable software development workflows
About Cargurus
At CarGurus (NASDAQ: CARG), our mission is to give people the power to reach their destination.
In the employer’s words · Read in context
Posting record
Report an errorOpen 6 monthsWe first saw this posting 204 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Apr 14, 2026204 days ago
- Recorded sightings
- 181
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 204
Up longer than most. Similar jobs usually come down between day 6 and day 69.
Well past Cargurus’s usual: its jobs come down by about day 60.
From 4,423 similar postings that came down, and 6 of Cargurus’s. Coming down is not always a hire.
Cargurus is hiring
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Docker
- SageMaker
- Snowflake
- NumPy
- pandas
- PyTorch
- scikit-learn
- XGBoost
Where the posting names them
What you’ll do - 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
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
- 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 - Knowledge of SQL and familiarity with cloud data warehouses (we use Snowflake) - A systems thinking mindset, able to reason about how components interact end-to-end across the ML lifecycle and platform, and also optimizing any single piece
- 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
- 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
Your next step
Complete your application on careers.cargurus.com. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
Who we are
At CarGurus (NASDAQ: CARG), our mission is to give people the power to reach their destination. We started as a small team of developers determined to bring trust and transparency to car shopping. Since then, our history of innovation and go-to-market acceleration has driven industry-leading growth. In fact, we’re the largest and fastest-growing automotive marketplace, and we’ve been profitable for over 15 years.
What we do
The market is evolving, and we are too, moving the entire automotive journey online and guiding our customers through every step. That includes everything from the sale of an old car to the financing, purchase, and delivery of a new one. Today, tens of millions of consumers visit CarGurus.com each month, and ~30,000 dealerships use our products. But they're not the only ones who love CarGurus—our employees do, too. We have a people-first culture that fosters kindness, collaboration, and innovation, and empowers our Gurus with tools to fuel their career growth. Disrupting a trillion-dollar industry requires fresh and diverse perspectives. Come join us for the ride!
Role 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. 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.
What you’ll do
- 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
- 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
- Knowledge of SQL and familiarity with cloud data warehouses (we use Snowflake)
- A systems thinking mindset, able to reason about how components interact end-to-end across the ML lifecycle and platform, and also optimizing any single piece
The displayed range represents the expected annual base salary / On-Target Earnings (OTE) for this position. On-Target Earnings (OTE) is inclusive of base salary and on-target commission earnings, which applies exclusively to sales roles.
Individual pay within this range is determined by work location and other factors such as job-related skills, experience, and relevant education or training.
This annual base salary forms part of a comprehensive Total Rewards Package. In addition to benefits, this role may qualify for discretionary bonuses/incentives and Restricted Stock Units (RSUs).
Position Pay Range
$144,000—$181,000 USD
Working at CarGurus
We reward our Gurus’ curiosity and passion with best-in-class benefits and compensation, including equity for all employees, both when they start and as they continue to grow with us. Our career development and corporate giving programs, as well as our employee resource groups (ERGs) and communities, help people build connections while making an impact in personally meaningful ways. A flexible hybrid model and robust time off policies encourage work-life balance and individual well-being. Thoughtful perks like daily free lunch, a new car discount, meditation and fitness apps, commuting cost coverage, and more help our people create space for what matters most in their personal and professional lives.
CarGurus may require in-person interviews as part of our hiring process, particularly for positions based in our Boston and Dublin offices. Candidates selected for an in-person interview will be notified in advance. Please be aware that travel expenses are the responsibility of the candidate.
We welcome all
CarGurus strives to be a place to which people can bring the ultimate expression of themselves and their potential—starting with our hiring process. We do not discriminate based on race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. We foster an inclusive environment that values people for their skills, experiences, and unique perspectives. That’s why we hope you’ll apply even if you don’t check every box listed in the job description. We also encourage you to tell your recruiter if you require accommodations to participate in our hiring process due to a disability so we can provide the appropriate support. We want to know what only you can bring to CarGurus. #LI-Hybrid
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Position Pay Range $144,000—$181,000 USD Working at CarGurus
- Location & working pattern
Boston, Massachusetts, United States
Working at CarGurus We reward our Gurus’ curiosity and passion with best-in-class benefits and compensation, including equity for all employees, both when they start and as they continue to grow with us. Our career development and corporate giving programs, as well as our employee resource groups (ERGs) and communities, help people build connections while making an impact in personally meaningful ways. A flexible hybrid model and robust time off policies encourage work-life balance and individual well-being. Thoughtful perks like daily free lunch, a new car discount, meditation and fitness apps, commuting cost coverage, and more help our people create space for what matters most in their personal and professional lives. CarGurus may require in-person interviews as part of our hiring process, particularly for positions based in our Boston and Dublin offices. Candidates selected for an in-person interview will be notified in advance. Please be aware that travel expenses are the responsibility of the candidate.
More source context
We welcome all CarGurus strives to be a place to which people can bring the ultimate expression of themselves and their potential—starting with our hiring process. We do not discriminate based on race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. We foster an inclusive environment that values people for their skills, experiences, and unique perspectives. That’s why we hope you’ll apply even if you don’t check every box listed in the job description. We also encourage you to tell your recruiter if you require accommodations to participate in our hiring process due to a disability so we can provide the appropriate support. We want to know what only you can bring to CarGurus. #LI-Hybrid
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.