Senior Engineer, AI & ML (multiple positions)

Carmax

Quick summary

Work type
On-site
Location
Dallas, TX
Posted
47 days ago

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How this pay compares to similar roles

Similar $208k
$160k most similar roles pay here $265k

This listing doesn't post a salary. Most similar roles pay $170,000–$246,150.

Based on 240 similar postings.

Employer

About Carmax

CarMax is the largest used car retailer in the United States, offering a customer-friendly, no-haggle buying experience with a broad selection of quality used vehicles, financing, and vehicle protection plans. Industry: Automotive Retail

Carmax currently has 35 open roles on FindRole.

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At a glance

TL;DR · Senior Engineer, AI & ML (multiple positions)

As a Senior Machine Learning Engineer at CarMax, you will join the Data Science team to deliver reliable and scalable machine-learning solutions across the organization. Your daily responsibilities include partnering with data scientists to design and implement machine learning models, converting these models into mission-critical capabilities that enhance customer experience, and researching new opportunities to improve business performance through innovative products and technologies. The role requires expertise in designing and developing on distributed architectures like microservices or Kubernetes, end-to-end service development for monitoring and support, Python programming, building enterprise-level solutions with Microsoft Azure or equivalent cloud platforms, DevOps practices, testing frameworks, CI/CD pipelines, object-oriented programming languages such as C# or Java, MLOps, industry-standard machine-learning libraries (TensorFlow, Scikit, PyTorch), and model development and deployment tools like MLFlow, Azure ML, or SageMaker.

What you'll do

  • Design and develop machine learning models in partnership with Data Scientists.
  • Convert ML models into scalable, mission-critical capabilities enhancing customer experience.
  • Research new opportunities to improve business performance through advanced technologies.
  • Implement MLOps practices using industry-standard Python libraries like TensorFlow and PyTorch.
  • Deploy machine learning models using tools such as MLFlow or Azure ML.

What we're looking for

  • Master’s degree in relevant field and 3 years of experience, or Bachelor’s degree and 5 years of experience.
  • Experience designing and developing on distributed architectures like microservices or Kubernetes.
  • Expertise in end-to-end design and development of scalable services for monitoring and product support.
  • Proficiency in Python programming and building enterprise-level solutions with Microsoft Azure or equivalent cloud technologies.
  • Knowledge of DevOps practices, testing frameworks, and CI/CD pipelines.
  • Experience with machine learning and AIaaS, including MLOps and industry-standard Python libraries.
  • Skills in model development and deployment using MLFlow, Azure ML, or SageMaker.

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