Machine Learning Operations Engineer

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! What you’ll do Support data scientists to deploy machine learning (ML) models to production and to build and maintain the APIs and data pipelines that integrate predictive intelligence into CarGurus’ products. Duties include: enhance and maintain CarGurus’ cloud-hosted ML platform; support systems recommendations including search ranking, computer vision, and instant market value; develop, implement, and integrate production-quality training jobs and inference APIs for Python ML models, to build and deploy robust and scalable data; implement enhancements to ML platform, leveraging technologies such as AWS SageMaker, GitHub Actions, and Docker; support design conversations and collaborate with data scientists and engineering partners, to design scalable and robust systems; develop in-house tools and libraries to standardize and accelerate the ML development process; and maintain aspects of data science team engineering infrastructure. Multiple positions. Who You Are: Master’s degree (or foreign equivalent) in Computer Science, Data Science Computer Engineering, Electrical Engineering, or a related field and two (2) years of experience in the job offered or related occupation. Position also requires two (2) years of experience with each of the following: Writing and debugging Python code; software engineering tools and standard methodologies, including Unit testing, object-oriented design, and containerization; Machine learning (ML) lifecycle, including model training, evaluation, deployment, and monitoring; Python ML ecosystem, such as scikit-learn, XGBoost, PyTorch, numpy, or pandas; Deploying, monitoring, and troubleshooting ML models in public cloud platforms, such as AWS; and SQL and cloud data warehouses, such as Snowflake. #LI-DNI 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 $133,000 — $167,000 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

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