Full-Time

Artificial Intelligence & Machine Learning Senior Engineer

Posted on 5/23/2026

CarMax

CarMax

10,001+ employees

Used-car retailer with no-haggle pricing

No salary listed

No H1B Sponsorship

Plano, TX, USA + 1 more

More locations: Richmond, VA, USA

Hybrid

Richmond onsite 5 days/week; Plano onsite 2 days/week.

Category
Software Engineering (1)
Required Skills
Kubernetes
Microsoft Azure
Python
Data Science
Machine Learning
Microservices
DevOps
Requirements
  • 5+ years’ software-engineering experience in an enterprise-level environment
  • 2+ years’ experience designing and developing on distributed architectures (microservices, Kubernetes, etc.)
  • 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
Responsibilities
  • The Senior Engineer in the Data Science and Machine Learning Engineering team at CarMax will be responsible for 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.
  • Develop tools and technology, learning quickly from our spirit of experimentation.
  • Research and discover new opportunities and shape products to fulfill them.
  • Turn machine learning models into highly visible, mission-critical capabilities that drive CarMax’s iconic customer experience.
  • Have a passion for Data Science and Machine Learning.
  • Deliver enterprise-level solutions with durable monitoring and production support for machine learning capabilities.
Desired 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)

CarMax buys used cars from individuals and auctions, reconditions them to high standards, and sells them at fixed no-haggle prices. Customers can browse inventory, get appraisals, and complete purchases online or in-store, with financing options and extended service plans available. It stands out by offering transparent, fixed pricing, a technology-enabled shopping experience, and being the largest used-car retailer in the United States. Its goal is to provide a straightforward, trustworthy car-buying experience and to maintain leadership in the U.S. used-car market.

Company Size

10,001+

Company Stage

IPO

Headquarters

Richmond, Virginia

Founded

1993

Simplify Jobs

Simplify's Take

What believers are saying

  • Starboard Value's $350 million stake pushes dynamic pricing and $300 million overhead cuts.
  • CEO Keith Barr, effective March 16, 2026, drives e-commerce upgrades from IHG success.
  • Free cash flow hit $1.11 billion in Q4 2025, funding four new FY2027 stores.

What critics are saying

  • Carvana captures share with superior digital model; KMX stock down 37% in 12 months.
  • Gross profit per vehicle drops 8.9% in Q4 2026, declining further in FY2027.
  • Starboard nominates Jeff Smith and Bill Cobb to board on March 11, 2026, forcing changes.

What makes CarMax unique

  • No-haggle pricing ensures transparent, stress-free used car purchases.
  • Omnichannel model combines 250+ stores with online sales capabilities.
  • High-quality reconditioning standards create reliable vehicle inventory.

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Your Connections

People at CarMax who can refer or advise you

Benefits

Professional Development Budget

Flexible Work Hours

Growth & Insights and Company News

Headcount

6 month growth

-4%

1 year growth

-4%

2 year growth

-4%
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Yahoo Finance
Apr 14th, 2026
CarMax shares drop 12% as profit per vehicle set to decline 8.9%

CarMax shares fell 12% in premarket trading after management warned that profit per retail vehicle would continue declining whilst expanding cost-cutting plans. The company expects retail gross profit per unit in fiscal 2027 to fall at a similar pace to the fourth quarter's 8.9% decline. CarMax is raising its sales, general and administrative expense reduction target to $200 million by end of fiscal 2027, up from $150 million. Capital spending will be cut to approximately $400 million in fiscal 2027, roughly $140 million below the previous year. The company faces intensifying competition from online-focused Carvana and traditional dealerships. Fourth-quarter results showed comparable used-vehicle sales declined 1.9%, beating the 4.7% expected drop, whilst gross profit per used vehicle reached $2,115, above the $2,050 consensus estimate.

Yahoo Finance
Apr 14th, 2026
CarMax beats expectations with 34 cents per share earnings despite $120.7M Q4 loss

CarMax reported a fiscal fourth-quarter loss of $120.7 million, or 85 cents per share. However, adjusted earnings reached 34 cents per share, surpassing Wall Street expectations of 22 cents per share. The Richmond, Virginia-based used car dealership chain posted quarterly revenue of $5.95 billion, exceeding analyst forecasts of $5.77 billion. For the full year, CarMax reported profit of $247.3 million, or $1.68 per share, with revenue of $25.88 billion. The results beat expectations despite the quarterly loss, demonstrating stronger-than-anticipated performance in both earnings and revenue metrics.

Yahoo Finance
Apr 13th, 2026
CarMax Q1 results due Tuesday as analysts expect 4.6% revenue decline

CarMax, a used automotive vehicle retailer, will report Q1 results on Tuesday before the bell. The market expects revenue to decline 4.6% year-on-year, reversing the 6.7% increase recorded in the same quarter last year. Last quarter, CarMax beat revenue expectations with $5.79 billion, down 6.9% year-on-year, whilst exceeding analysts' EPS and EBITDA estimates. However, the company has missed Wall Street's revenue estimates multiple times over the past two years. Analysts have largely reconfirmed their estimates over the last 30 days. CarMax shares have risen 12.2% over the past month, outperforming the automotive and marine retail segment's 3.3% average gain. The current share price of $46.79 sits above the average analyst price target of $40.92.

Yahoo Finance
Mar 27th, 2026
CarMax's new CEO Keith Barr prioritises tech upgrades to improve customer experience and compete with Carvana

CarMax's new CEO Keith Barr has outlined three priorities for fiscal year 2027, with technology upgrades at the forefront. The 55-year-old executive, whose appointment took effect on 16 March, emphasised updating the used-car retailer's e-commerce platform to improve customer experience and compete with rivals like Carvana. Barr's other priorities include making CarMax "the obvious choice" through competitive pricing and exceptional user experience, and acting with urgency to change what isn't working. His focus on technology mirrors his previous role as CEO of InterContinental Hotels Group from 2017 to 2023, where he modernised digital systems. Major shareholder Starboard Value LP has criticised CarMax's digital trade-in process as cumbersome compared to competitors, urging a more streamlined approach with fewer steps and instant valuations.