Jobs at CarMax

The Senior Engineer in AI & ML will design and productionalize machine learning models, collaborating with Data Scientists to implement scalable solutions and enhance customer experiences at CarMax.

Design, evolve, and automate cloud platform infrastructure and self-service tools. Partner with product, design, and architecture teams to build resilient cloud architectures, CI/CD pipelines, and automated deployments while applying agile engineering practices and staying current with industry best practices.

Collaborate with teams to develop ETL and data integration processes, troubleshoot data issues, and ensure best practices in data management and modeling.

Lead a product team to design and deliver customer-centered solutions across digital and in-store channels. Conduct customer research, validate hypotheses with prototypes, prioritize opportunities, set vision and goals using data, and collaborate with engineering and design to build scalable experiences that drive business value.

Responsible for developing machine learning capabilities, partnering with Data Scientists, and enhancing customer experiences through AI solutions.

As a Senior Cloud Engineer, you will develop and maintain cloud infrastructure, optimize application performance, collaborate with teams, and ensure project goals are met while mentoring others.

As a Senior Software Engineer at CarMax, you'll develop cloud solutions for commerce, streamline integration and provide technical support while working within Agile and DevOps environments.

Lead a team to develop and deploy autonomous pricing algorithms for vehicle valuation, optimize pricing strategy to drive $10-25M/year in value, collaborate cross-functionally to implement models in production, and build management systems to monitor and adjust pricing in real time.

As a Sr. Data Scientist, you will build algorithms, analyze complex data, partner with teams to enhance customer experiences and communicate insights effectively.

Perform hands-on implementation, operation, and improvement of Identity and Access Management solutions. Provide IAM technical expertise, evaluate authentication/authorization policies, govern IAM platforms, support user provisioning/SSO/MFA/PAM, triage incidents, produce metrics/audit reports, and collaborate with application/infrastructure teams. Participate in project delivery and a scheduled 24x7 on-call rotation.

Lead development and improvement of vehicle pricing models by applying machine learning and statistical techniques, feature engineering, and controlled experiments; present insights to senior leaders; research modeling innovations and influence the team's modeling roadmap; communicate model behavior to stakeholders.

The Data Engineer II will design, build, and maintain data pipelines, ensuring data governance and security. Responsibilities include coding in Python, managing data processing, and collaborating with data teams.

As a Data Science Manager, you'll drive personalization initiatives through data science, manage experimentation, and lead technical innovation in ML algorithms at CarMax.

Lead implementation and configuration of Oracle Cloud Financials, gather and translate business requirements into technical user stories, drive data conversion/mapping, collaborate with SI and cross-functional teams, build/test/train/support solutions, and produce functional specs and SOPs to simplify finance processes.

Lead teams that design, build, and operate application systems for customer acquisition and discovery. Partner with stakeholders on SEO/GEO, content, personalization, and AI-powered discovery. Drive AI/ML/NLP adoption, ensure system health, accessibility, experimentation, and measurement, and grow engineering talent while guiding architecture, integrations, and secure scalable operations.

The Analyst II, Information Risk Management focuses on managing privacy operations, coordinating data requests, executing privacy assessments, and improving privacy processes using automation and AI.

The Sr. Software Engineer will develop and maintain REST APIs and data integrations on Azure, ensuring effective master data management and performance improvements.

Lead development and deployment of predictive customer progression models across the full lifecycle. Analyze large, complex datasets, design experiments (A/B tests), collaborate with Product/Engineering/Operations, and mentor a team of data scientists while driving scalable modeling infrastructure and communicating insights to influence business strategy.

Lead development of optimal logistics planning strategies and AI-driven models to autonomously plan vehicle moves. Build and manage a 4-7 person data science team, implement production-ready optimization and ML systems, collaborate cross-functionally to deploy solutions, and measure impact to deliver $10-25M/yr in incremental value.

Lead design and implementation of developer platform and AI-assisted tooling (MCP, skills, agents), build integrations, govern patterns, champion engineering best practices, instrument tooling, mentor engineers, and drive adoption across the organization.