Senior Engineer, AI & ML (multiple positions)

Carmax

Quick summary

Work type: On-site
Location: Dallas, TX
Posted: 2 days ago

Market check

Salary context

How this pay compares to similar roles

Similar $211k

$167k most similar roles pay here $263k

This listing doesn't post a salary. Most similar roles pay $176,000–$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 36 open roles on FindRole.

Most-posted roles

View all roles at Carmax

At a glance

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

Apply Now Log in to save

Join CarMax as a Senior Machine Learning Engineer on their dynamic data science team to drive customer experience through cutting-edge machine learning solutions. You will collaborate with Data Scientists to design and deploy scalable ML models, ensuring they are mission-critical components of enterprise systems. Your daily tasks include researching new opportunities for product enhancement, developing end-to-end services using distributed architectures like Kubernetes, and implementing MLOps practices with tools such as Azure ML and TensorFlow. Proficiency in Python, C#, Java, and cloud technologies like Microsoft Azure is essential, along with experience in DevOps, CI/CD pipelines, and industry-standard machine learning libraries. This role at a Fortune 100 company offers the chance to innovate on a large scale within the automotive retail sector.

Skills

Python Azure Kubernetes C# Java TensorFlow Scikit-learn PyTorch MLflow Azure ML SageMaker MLOps CI/CD DevOps

What you'll do

Design and develop machine learning models in partnership with Data Scientists.
Convert ML models into critical business capabilities to enhance customer experience.
Research new opportunities to improve products, tools, and technologies for performance.
Implement MLOps practices using industry-standard Python libraries like TensorFlow and PyTorch.
Deploy machine learning models using platforms such as Azure ML or SageMaker.
Develop scalable services on distributed architectures like Kubernetes for monitoring.

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.
Expertise in designing and developing on distributed architectures like microservices or Kubernetes.
Proficiency in Python programming and coding for machine learning applications.
Experience building enterprise-level solutions with Microsoft Azure or equivalent cloud technologies.
Knowledge of DevOps practices, testing frameworks, and CI/CD pipelines.
Skills in object-oriented programming languages such as C# or Java.
Demonstrated experience in MLOps and industry-standard machine-learning Python libraries.

Similar roles