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8116 - Midtown Office - 2220 W. Broad Street, Richmond, Virginia, 23220

CarMax, the way your career should be!

About this job

At CarMax, a Senior Engineer, Machine Learning is a technologist with domain-specific expertise in customer insight and recommendations - capable of designing and deploying intelligent systems that tailor the customer experience. As a member of the Customer Conversion team, you will have a direct impact on the way customers discover and engage with CarMax

Essential Responsibilities:

+ Develop, evaluate, and deploy AI and data science based models, utilizing state-of-the-art machine learning tools in cloud with streaming data

+ Utilize software and cloud engineering skills to turn machine learning models into highly visible, mission-critical capabilities that drive CarMax’s iconic customer experience

+ Articulate potential challenges of building scalable ML applications to engineering teams and leadership, and offer creative, technically sound solutions

+ Build and maintain robust monitoring and evaluation pipelines to validate and continuously optimize the performance of data science models and pipelines

+ Assist in the growth of other engineers by sharing technical expertise, best practices, and emerging industry standards to understand customer journey and omni channel communication

+ Ensure high quality standards and clean code practices by performing thorough peer reviews of code pull requests

Minimum Qualifications:

+ Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

+ 4+ years of experience in designing and developing on distributed architectures (microservices and Kubernetes);

+ Leading the end-to-end design and development of scalable services to be consumed by the enterprise, including monitoring and production support

+ Excellent communication skills, able to adapt messaging to technical and non-technical audiences

+ Ability to positively influence team norms, culture, and technical vision

Preferred Qualifications:

+ Master’s Degree in Computer Science, Computer Engineering, or a related field

+ Hands-on experience on building LLM based agents and MCP

+ Familiarity with continuous evaluation frameworks and online/offline A/B testing

Software Engineering Specific Qualifications and Requirements:

+ Building enterprise-level solutions with Microsoft Azure or equivalent cloud technologies

+ Python, including writing production level code (services and applications)

+ DevOps practices, testing frameworks, and CI/CD;

+ Machine-learning or AIaaS with demonstrated knowledge or projects;

+ MLOps and industry-standard machine-learning Python libraries;

+ Model Development and Deployment (MLFlow, Azure ML or Sage Maker)

+ Data Science Libraries and Algorithms (TensorFlow, Scikit or PyTorch)

**Work Authorization:** Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship will **not** be considered for this specific role.

**Work Location and Arrangement:** This role will be based out of the Richmond, VA Technology Innovation Center or Dallas Technology Hub in Plano, TX and have a Hybrid work arrangement.

About CarMax

CarMax disrupted the auto industry by delivering the honest, transparent, and high-integrity experience customers want and deserve. This innovative thinking around the way cars are bought and sold has helped us become the nation’s largest retailer of used cars, with over 200 locations nationwide.

Our amazing team of more than 25,000 associates work together to deliver iconic customer experiences. Along the way, we help every associate grow their career and achieve their best, at work and in their community. We are recognized for our commitment to training and diversity and are one of the FORTUNE 100 Best Companies to Work For®.

Our Commitment to Diversity and Inclusion:

CarMax is committed to bringing together people from different backgrounds and perspectives, providing employees with a safe, welcoming, and inclusive work environment.

CarMax is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law.

Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application.