Manager, Data Science

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 were the largest and fastest-growing automotive marketplace and weve 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 30000 dealerships use our products. But theyre 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 youll 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 teams engineering infrastructure Promote and foster an inclusive transparent and collaborative culture What youll 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 bonusesincentives and Restricted Stock Units RSUs. Position Pay Range 144000 - 181000 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. Thats why we hope youll apply even if you dont 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