Engineer II- AI & ML

Sorry, this job was removed at 04:18 p.m. (CST) on Friday, Jul 25, 2025
Richmond, VA
In-Office
Automotive • Retail
The Role
8901 - Corp Office West Crk - 12800 Tuckahoe Creek Parkway, Richmond, Virginia, 23238

CarMax, the way your career should be! 

About this job

At CarMax, an Engineer II, Artificial Intelligence & Machine Learning is a technologist with software engineering skills for implementation of machine learning algorithms in production, at the same time propose upgrades for models already in use. You are also responsible for maintaining and supporting ML models and related cloud services in production. As a member of the DSML team, you will work with engineers, managers, and other stakeholders to provide customer solutions that drive CarMax’s iconic omni-channel customer experience.

The Engineer on the Data Science and Machine Learning Engineering team at CarMax will be responsible for in providing reliable and scalable machine-learning capabilities across the organization. This role will closely partner with Data Scientists to design and productionalize machine learning models, including testing and monitoring of the applications and front-end experiences. The ideal candidate will have the substantial experience in software engineering and data science that is necessary to turn machine learning models into highly visible, mission-critical capabilities that drive CarMax’s iconic customer experience and will have a passion for Data Science and Machine Learning.

Essential Responsibilities: 

  • Responsible for delivering reliable and scalable machine learning capabilities across the organization.

  • Collaborates closely with Data Scientists to design, develop, and productionalize machine learning models.

  • Ensures thorough testing and monitoring of machine learning applications and associated front-end experiences.

  • Partners with key team members in turning machine learning models into mission-critical, high-visibility capabilities that support CarMax's iconic customer experience.

  • Requires strong background in software engineering and cloud engineering to effectively scale ML systems.

  • Demonstrates a passion for Data Science and Machine Learning, continuously driving innovation and improvement in these domains.

Minimum Qualifications:

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

  • 2+ years of experience in one or more of the following areas: software development, cloud computing, systems engineering, or machine learning/artificial intelligence

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

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

  • Proficient in the Python programming language

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

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

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

  • 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, Data Science 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.)

  • 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)

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.

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

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The Company
HQ: Richmond, VA
25,000 Employees
Year Founded: 1993

What We Do

CarMax revolutionized the auto industry by delivering the honest, transparent and high-integrity car buying experience customers want and deserve. This disruptive thinking has helped us become the nation’s largest retailer of used cars with more than 200 stores nationwide. And thanks to our amazing team of nearly 25,000 associates, we have been recognized as one of the FORTUNE 100 Best Companies to Work For® - 16 years in a row!

Committed to hiring people with strong values of integrity, transparency and respect, we offer unmatched training and support for associate career growth, and have been recognized as one of Training Magazine’s "Training Top 125" companies in America. We are also proud to be a best place to work for Veterans, and the #2 Best Workplace for Retail.

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