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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, Artificial Intelligence is a technologist with domain-specific expertise in Generative AI, able to address advanced concepts and feature designs for hosting deep-learning models that generate content with processes and tools for testing, evaluating, and analyzing the AI system. As a member of the GenAI team, you will have a direct impact on improving the performance of our business through machine learning and Generative AI system implementations that drive CarMax’s iconic omni-channel customer experience.

Minimum Qualifications:

+ 5+ years’ software-engineering experience in an enterprise-level environment

+ 2+ years’ experience designing and developing on distributed architectures (microservices, Kubernetes, etc.)

+ 2+ years' of experience with at least one major machine learning framework such as Tensorflow or PyTorch

+ 2+ years' of practical experience/theoretical understanding of developing and deploying computer vision deep learning models (e.g., CNN, Detectron, YOLO etc) at scale in production

+ 2+ years leading the end-to-end design and development of scalable services to be consumed by the enterprise, including monitoring and production support

+ Proficient in the Python programming language

+ 2+ years’ experience building enterprise-level solutions with Microsoft Azure or equivalent cloud technologies

+ Experience in DevOps practices, testing frameworks, and CI/CD

+ Excellent communication skills, adapting to various audience types

+ Experience on a fast-paced, highly collaborative agile team within a Product-oriented organization

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

+ Bachelor’s Degree in Computer Science or related Technology field or equivalent experience

Preferred Qualifications:

+ Master's in Computer Science, Engineering, Decision Sciences or equivalent area

+ Proficient in an object-oriented programming language (i.e. C#, Java)

+ Proficient in writing production level code in python (services, applications, etc.)

+ Experience in machine-learning and/or AIaaS with demonstrated knowledge or projects

+ Familiarity with MLOps and industry-standard machine-learning Python libraries

+ Enthusiastic about the vision of building an augmented algorithmic organization

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

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

**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.