Embedded Machine Learning Engineer Jobs in Sandston, VA

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.

Minimum Qualifications:

• 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

Preferred 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)

Work Location and Arrangement: This role will be based out of the CarMax Midtown office, Richmond VA or CarMax Technology Hub, Plano TX and have a Hybrid work arrangement.   

• Associates based in Richmond work onsite 5 days per week. 

• Associates based in Plano work onsite 2 days per week. 

Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship will not 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 250 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®.

Our Commitment to Diversity and Inclusion:

CarMax is committed to bringing together people from different backgrounds and perspectives, providing employees with a safe, welcoming, and inclusive work environment.

CarMax is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law.