Summary of Duties:
- Responsible for providing reliable and scalable machine-learning capabilities across the organization.
- Partner with Data Scientists to design and produce machine learning models. Processes include testing and monitoring applications and front-end experiences.
- Convert machine learning models into mission-critical capabilities that drive customer experience.
- Research and discover new opportunities to shape products, tools, and technologies to improve business performance.
Qualifications:
Master’s degree in Information Systems, Information Technology, Computer Science, Operations (any), Management (any), Engineering (any), Analytics (any), Business (any), Language (any), Telecom, Math, Physics, Electrical/Electronics, or a related field of study, AND Three (3) years of experience in the job offered or related occupation in which the required experience was gained. In lieu of a Master’s degree in Information Systems, Information Technology, Computer Science, Operations (any), Management (any), Engineering (any), Analytics (any), Business (any), Language (any), Telecom, Math, Physics, Electrical/Electronics, or a related field of study, AND Three (3) years of experience, the employer will also accept a Bachelor’s degree in Information Systems, Information Technology, Computer Science, Operations (any), Management (any), Engineering (any), Analytics (any), Business (any), Language (any), Telecom, Math, Physics, Electrical/Electronics, or a related field of study, AND Five (5) years of experience in the job offered or related occupation in which the required experience was gained. Must also have demonstrated experience with the following: Designing and Developing on distributed architectures (microservices or Kubernetes); End-to-end design and development of scalable services for monitoring and product support services; Python programming and coding; Building enterprise-level solutions with Microsoft Azure or equivalent cloud technologies; DevOps practices, testing frameworks, and CI/CD pipelines; Object-oriented programing language (C# or Java); Machine-learning and AIaaS; MLOps and industry-standard machine-learning Python libraries; Model Development and Deployment (MLFlow, Azure ML, or Sage Maker); and Data Science Libraries and Algorithms (TensorFlow, Scikit, or PyTorch).
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®.
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.
Sponsorship Note:
Candidates must be legally authorized to work for any U.S. employer on a full-time basis. Sponsorship will be considered for this specific role.
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.
Skills Required
- Master's degree in related field and three years of experience or Bachelor's degree and five years of experience
- Experience designing and developing distributed architectures
- Experience with Python programming
- Experience building enterprise-level solutions on Microsoft Azure
- Experience with DevOps practices and CI/CD pipelines
- Experience in object-oriented programming (C# or Java)
- Experience with MLOps and machine-learning libraries
CarMax Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CarMax and has not been reviewed or approved by CarMax.
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Retirement Support — Retirement benefits appear robust, including a 401(k) with dollar-for-dollar matching up to the first 6% of base salary and immediate vesting. Stock purchase programs with a discount or match are positioned as an additional long-term wealth-building option.
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Healthcare Strength — Health coverage is described as comprehensive, spanning medical, dental, vision, disability, and life insurance, with access beginning relatively early for eligible associates. Mental health resources and wellbeing programs are also present as part of the health offering.
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Leave & Time Off Breadth — Time-off offerings are described as broad, including vacation, holidays, sick time, and paid leave related to new child placement or birth/adoption in addition to family medical leave options. The structure varies by role and tenure, but the overall menu is sizable.
CarMax Insights
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.
