Senior Machine Learning Engineer
Cambridge, MA
CarGurus
Unbiased car reviews and over a million opinions and photos from real people. Use CarGurus to find the best used car deals.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 science team and drive data-driven decisions for CarGurus’ using data science and machine learning tools. Duties include: creating and maintaining tools and infrastructure necessary to drive CarGurus innovation and profitability; develop, implement, and integrate Python ML tools to build robust and scalable data from prototype stage; collaborate with team members on their modeling projects and assist with code reviews; collaborate with analysts and non-technical stakeholders across the company to gather business requirements for modeling projects; implement ML model training and interference pipelines for machine learning models; deploy, monitor, and troubleshoot ML solutions and scalable data integration pipelines in AWS; plan, design, and operate cloud-based model deployments; and collect and document user requirements to develop platforms to execute data science workflows. Multiple positions.
Who You Are: Master’s degree (or foreign equivalent) in Computer Science, Software Engineering, Computer Engineering, Electrical/Electronics 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: Continuous integration/continuous delivery (CI/CD); Deploying and maintaining continuous training pipelines for machine learning models; Python Machine Learning (ML) ecosystem; deploying, monitoring, and troubleshooting ML solutions in a public cloud; Business intelligence tools, including SQL; and Evaluating and integrating ML tools to accelerate development.
#LI-DNI
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.
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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Business Intelligence CI/CD Computer Science Engineering Machine Learning ML models Model training Pipelines Python SQL
Perks/benefits: Career development Equity Flex hours Flex vacation Startup environment Transparency
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