Car shopping is complicated. At CarGurus, we use data and technology to make it simple, giving people the tools they need to confidently find, buy, finance, or sell a car. The best part? Our work’s made a real impact. We’re the most-visited car-shopping site in the US, and we’re expanding globally. Ready to come along for the ride?

We're looking for a thoughtful, technical and deeply collaborative Senior Machine Learning Engineer to work with our growing Analytics Engineering team! This position will provide foundational framework for the Data Science team. This includes building the infrastructure to allow the team to "publish" models into production, developing Python libraries to facilitate feature generation, and providing the data science team with product-based datasets to train their models.

What you’ll do:

  • Collaborate with Data Scientists, Emerging Product Engineers, and Analysts
  • Be the interface between the data warehouse and the data science team, using transformation frameworks to automate dataset generation
  • Help Data Scientists optimize, monitor, and deploy their models
  • Build, maintain, and upgrade a platform for running machine learning models
  • Develop APIs to serve model predictions in real time and at scale
  • Learn the business inside and out, interfacing with domain knowledge experts
  • Participate in creating the team’s roadmap, providing feedback on priority and business value.

Who You Are:

  • 3+ years experience as a data engineer, machine learning engineer, or a software engineer with a passion for data.
  • Team player who thrives in a collaborative environment.
  • Self-starter, willing to jump in and learn something new to execute on a task.
  • Experienced in SQL, with ability to optimize database and query performance.
  • A natural detective, with a keen interest in solving business problems with data driven methods.
  • Deeply focused on delivering value to stakeholders, with a data-as-a-product mindset.
  • Passionate about creating production grade systems and data quality, supporting what you build.
  • Familiarity with cloud computing and architectures.
  • Exposure and experience with machine learning is a plus.

Technologies we use:

Airflow, AWS, Docker, Snowflake, Python, Spark, Kafka, Prometheus, Snowplow

At CarGurus, we invest in our people’s professional growth with everything from learning and development programs to tuition reimbursement. Want to work on projects that expand your skill set without sacrificing your work/life balance? You got it. We also strive to provide perks and benefits that employees actually care about like free lunch, commuter subsidies, and more. That includes equity in the company—our way of showing that we want you here for the long haul.

We work hard every day to build the world’s most trusted and transparent automotive marketplace, but trust and transparency don’t just apply to our consumers. They extend to our talent, too. We aim to create a workplace where everyone feels they can bring the ultimate expression of themselves and their potential—where you don’t just fit, you thrive. We don’t discriminate based on race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.

In addition to the US, CarGurus operates sites in Canada, Germany, Spain, Italy, and the UK—with other markets on the horizon. We have offices in Cambridge, MA; Detroit, MI; Dublin, Ireland; San Francisco, CA and London, UK. Check out our careers page to learn more.

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U.S. Voluntary Demographic Questions

Here at CarGurus, we are serious about our dedication to building a diverse workplace, where our employees can bring their best selves to work in order to learn, thrive, and do great things together. In recent years, we’ve doubled down on our commitments to ensuring we are a values-driven culture supported by strong individuals and leaders. This commitment extends to hiring, where we have set high standards for ourselves to run a positive and inclusive process.

To help us recruit and hire in a way that is respectful of all candidates, we invite you to anonymously self-identify about gender, sexual orientation, race/ethnicity, veteran status, and disabilities. Any information provided is completely voluntary, anonymous, and analyzed in aggregate by a small group on our People & Talent team.

If you prefer not to participate, that’s fine. However, we hope that you will choose to answer so we can gather as much data as possible, and use it to continue making CarGurus a vibrant, diverse, and special place to work.

The legal stuff: All individuals that are seeking employment at CarGurus are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, pregnancy, veteran status, gender identity, gender expression, or sexual orientation.

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