Principal Software Engineer, Machine Learning Engineering

Key Skills

Algorithms, AzureML, C# Programming, Docker, Java Programming, Kubernetes-K8s, Machine learning techniques, MLflow, MLOps tools, Python Programming, PyTorch, Scikit-learn, Software Development, TensorFlow

Job Description

Essential Responsibilities:

As a Principal Software Engineer in Machine Learning, Ops within CarMax Technology, you will be developing solutions to productionize and operationalize models as services for enterprise-level consumption. You will collaborate with Product Managers, Data Scientists, Technology teams, and Delivery Managers to deliver highly impactful capabilities that drive CarMax’s iconic omni-channel customer experience.

The Principal 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.

Minimum Qualifications:

• 7+ years’ software-engineering experience in an enterprise-level environment
• 2+ years’ experience with microservices software architecture
• 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

Preferred Qualifications:

• Master's in Computer Science, Engineering, Decision Sciences or equivalent area
• Proficient in an object-oriented programming language (i.e. C#, Java)
• Experience in machine-learning and/or AIaaS with demonstrated knowledge or projects (Bonus: Computer Vision experience)
• Familiarity with MLOps and industry-standard machine-learning Python libraries
• Enthusiastic about the vision of building an augmented algorithmic organization.
• ML Engineer - Container Orchestration (Kubernetes, Docker)
• ML Engineer - Model Development and Deployment (MLFlow, Azure ML)
• ML Engineer – Data Science Libraries and Algorithms (TensorFlow, Scikit, PyTorch)

Work Location and Arrangement: This role will be based out of one of the following locations and have a Hybrid work arrangement:

• Richmond, VA Technology Innovation Center
• Dallas, TX Technology Hub
• Atlanta, GA CarMax Auto Finance Office

Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship will be considered for this specific role. 

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.