Jobs at CarMax

Designs and evolves scalable cloud platforms, automation tools, and self-service capabilities. Leads cloud infrastructure architecture, reliability, security, resilience, CI/CD, and performance optimization across hybrid environments. Provides technical leadership, mentors engineers, consults with stakeholders, and drives cross-functional initiatives and continuous improvement.

Designs, develops, and deploys enterprise Generative AI solutions using LLMs, semantic search, and AI orchestration. Builds monitoring systems, improves AI architecture, supports prompt engineering and evaluation, reviews code, and mentors engineers. Collaborates with product leaders and stakeholders to deliver secure, scalable, customer-facing AI applications. Requires Azure OpenAI, Azure AI Search, Semantic Kernel, DevOps, CI/CD, testing, and advanced Python expertise.

Ten-week business analytics internship for college students. Interns analyze business data, solve challenges, create insights, collaborate with teams, present findings, and contribute to real-world projects. The program includes mentoring, formal training, leadership interactions, and professional development in analytics, strategy, communication, coding, and storytelling.

Build and operate production machine learning and agentic AI systems, including feature engineering, training, evaluation, deployment, inference, monitoring, and alerting. Collaborate with data scientists, engineering, and product teams to productionize models and deliver scalable, reliable capabilities. Responsibilities include managing model performance and data drift, supporting real-time workloads, responding to incidents, and improving operational reliability.

Build and evolve cloud platforms, infrastructure, self-service capabilities, automation, and deployment tooling. Develop resilient cloud solutions, CI/CD pipelines, infrastructure as code, and platform management patterns across Azure and other cloud environments. Collaborate with product, design, architecture, and engineering teams, investigate technical issues, improve platform operations, eliminate manual processes, and mentor teammates.

Develop and improve pricing algorithms by analyzing complex data, engineering features, applying statistical and machine learning methods, and validating predictive models. Design controlled experiments, research modeling innovations, communicate model insights, and influence the team’s data science roadmap. Present recommendations to senior leaders and contribute toward technical leadership or people management.

Develop and improve predictive pricing models using statistical and machine learning techniques. Apply feature engineering to complex datasets, incorporate new data sources, design controlled experiments, and communicate insights to senior leaders. Research data science innovations, contribute to the modeling capability roadmap, and explain model functionality to technical and nontechnical stakeholders. Collaborate with analysts and systems experts to deploy models effectively.

Develop and enhance predictive models for search and recommendations using large datasets, statistical methods, and machine learning. Incorporate new data sources, design controlled experiments, communicate insights to senior leadership, research emerging methodologies, and help shape the data science roadmap. The role also requires collaboration, project delivery, and explaining technical concepts to technical and non-technical audiences.

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.

Lead architecture and strategy for UKG Pro Workforce Management and integrations. Design solutions for Timekeeping, Accruals, Attendance, Scheduling, and Forecasting. Drive migration from Dell Boomi to API-first patterns, partner with Platform Engineering (Azure), mentor engineers, enforce SDLC/change management, and collaborate with HR and business teams to deliver scalable, maintainable HR ecosystem solutions.

Support and improve application security by implementing and operating SAST/DAST, API and container security solutions; triage and resolve security issues; collaborate with dev and product teams; participate in on-call rotation; drive projects to completion and integrate security into DevSecOps practices.

Implement, operate, and improve cybersecurity solutions; provide functional and technical expertise on security projects; gather business/IT requirements to develop security processes; triage incidents and provide urgent support; participate in on-call rotation; and drive projects to completion through project management and stakeholder coordination.

The Senior Data Scientist will develop and maintain ML models and analytical frameworks to enhance customer experiences at CarMax, collaborating with Product and Operations teams to drive business-critical decisions and improve operational effectiveness.

As a Software Engineer II at CarMax, you will design and build web applications for customer service, developing responsive UIs and APIs while collaborating with teams throughout the software lifecycle.

Lead development and operationalization of pricing algorithms to value vehicles, deliver $15-30M/year in incremental value, build and manage a 4-8 person data science team, develop AI/ML models to autonomously price vehicles, run experiments, and implement model monitoring and incident response with cross-functional partners.

The role involves leading AI/ML Engineering, establishing technology vision, managing a large team, and ensuring quality AI solutions. Key responsibilities include architecting automation pipelines and fostering a product engineering culture.

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.

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.

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

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.