CarMax-posted 7 days ago
Full-time • Mid Level
Hybrid • Richmond, TX
5,001-10,000 employees

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. Essential Responsibilities: At CarMax, we are industry disruptors. At the heart of our innovation is new digital products. Working on many different aspects of the customer experience, our Senior Engineers research and discover new opportunities and shape products to fulfill them. From inception to completion, you will develop tools and technology, learning quickly from our spirit of experimentation. You will have a direct impact on improving the performance of our business and ensuring customers can buy the vehicles they want in a way that is right for them! The Senior Engineer in 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 cloud engineering 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.

  • research and discover new opportunities and shape products to fulfill them
  • develop tools and technology, learning quickly from our spirit of experimentation
  • improving the performance of our business
  • ensuring customers can buy the vehicles they want in a way that is right for them!
  • providing reliable and scalable machine-learning capabilities across the organization
  • closely partner with Data Scientists to design and productionalize machine learning models, including testing and monitoring of the applications and front-end experiences
  • 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
  • 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)
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