Be essential at Cars Commerce
At Cars Commerce, we’re fanatical about simplifying everything about car buying and selling. We do right by our customers and consumers to better connect the industry with simplified and tierless technology to enhance, measure and drive local automotive retail. Whether through our No.1 most recognized marketplace, Cars.com, our industry-leading digital experience, Dealer Inspire, our trade and appraisal technology, AccuTrade, or our new Cars Commerce Media Network, Cars Commerce is essential for success in the automotive industry.
No one ever travels alone here: at its core, Cars Commerce is collaboration. In fact, it’s built into the very fabric of our shared values. We like to say we Rise Together – putting people at the center of what we do, from consumer to customer to community. Life at Cars Commerce makes it easy when we share the ethos to be Open to All, encouraging open-minded communication because we know diverse thinking yields better outcomes. But critical to our success is Caring to Challenge and Taking Ownership, fueling a competitive spirit in a respectful environment where we think about tomorrow but act today. At our foundation, we have integrity, Doing the Right Thing, even when it’s hard. It’s our shared commitment to these values that makes Cars Commerce a place where growth becomes not only possible, but downright unavoidable.
But don’t take our word for it. As a U.S. News & World Report Best Company to Work For in 2024, we're obsessive about the employee experience. We are among the top 20% being declared “Best” of our industry based on six critical factors that are important to employee wellbeing, like quality of pay, benefits, work life balance and more.
In a typical week you will:
Collaborate with product and engineering teams to define, design, build, evaluate, A/B test, deploy, monitor, and maintain ML models.
Work with business partners to identify business opportunities and understand the business impact of models.
Apply robust and maintainable production feature coding practices to ensure model outputs are provided reliably and efficiently at all times
Communicate modeling methodologies and analytical findings to business stakeholders
Stay up-to-date with latest technology trends and publish research articles on science and innovations
Requirements:
2+ years professional experience developing machine learning models
At least a bachelor’s degree in ML, data science, or related STEM fields
Understanding of supervised & unsupervised ML, deep learning, and other MLI techniques and processes
Understanding of GenAI concepts, models and tools
Experience with full ML lifecycle including development, validation, implementation and release
Strong coding skills in Python/PySpark and SQL
Understanding of coding best practices and familiar with version control tools
Experience using AWS ecosystem or equivalent
Experience with Docker, Jenkins or similar CI/CD tools, Git, dashboarding tools
Ability to be flexible working on diverse problems by learning and applying the best techniques, instead of focusing on a narrow ML area previously learned
Strong soft skills including collaboration with diverse technical and non-technical stakeholders, clear verbal and written communication, ability to see different points of view, and business aptitude to craft technical solutions for maximum impact
Preferred:
Experience working on search, recommendation, and/or personalization systems
Our Comprehensive Benefits Package includes:
Learn more about our Benefits, Perks, & Culture on our LinkedIn Life Pages!
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. California Applicants: Click here to review our California Privacy Policy for Applicants. For current employees, please click here to review our California Privacy Policy for Employees.