Principal Engineer, ML - Remote

At CarMax, a Principal Engineer, AI & ML is a technologist and thought leader who can leverage and advance the state-of-the-art in deep learning computer vision and image generation to influence CarMax digital media assets. You should have extensive knowledge and experience with Machine Learning concepts, tools, and design patterns at enterprise scale. You should also be able to propose, architect, and implement machine learning and computer vision based solutions as software services. You will play a critical role in capturing customer use cases, while shaping and executing a strategy to build reliable and scalable machine learning and AI capabilities for the adoption and the broad use across the enterprise.  

This role will closely partner with Data Scientists, managers, and architects to design and productionalize CV/ML systems, including testing and monitoring of the applications. The ideal candidate will have the substantial experience in software engineering and cloud engineering that is necessary to turn machine learning and CV into highly visible, mission-critical capabilities that drive CarMax’s iconic customer experience.
 

Essential Responsibilities:

• Help guide junior developers in computer vision and deep learning fundamentals such as feature extraction, CNNs, supervised machine learning, transfer learning and distributed deep learning

• Serve as an engineering lead on various business delivery and engineering excellence initiatives

• Suggest, collect, and translate requirements into an effective feature roadmap for organization platform capabilities

• Evaluate and recommend tradeoffs of features to the platform that allow use case owners to refine output generation and new technology offerings in the space

• Be a key partner in driving direction and goals for the team, both in terms of individual project impacts but also overall standards for machine learning and AI utilization in the organization

• Guide teams in developing integration, end-to-end, and UAT test strategy as well as testing activities

• Help drive the broader understanding of the use of machine learning and AI by interfacing with key roles in Operations, Legal, Security, and Technology

• Stay on top of industry trends and best practices to continuously improve what we do and ensure our customer experience is the best it can be

• Lead, mentor, and develop other engineers using technical expertise, best practices and industry standards for machine learning and AI systems

Minimum Qualifications:

• Bachelor’s Degree in Computer Science, Computer Engineering, , relevant technical field, or equivalent practical …