Distinguished Machine Learning Engineer

$274,800 - $313,600/Yr

Capital One - Philadelphia, PA

Full-time - Senior

Philadelphia, PA

Credit Intermediation and Related Activities

About the position

As a Distinguished Machine Learning Engineer at Capital One, you will be part of a community of technical experts focused on defining the future of banking in the cloud. This role involves driving innovation, optimizing business outcomes, and promoting a culture of engineering excellence. You will lead the development and implementation of solutions that enable business initiatives, mentor internal talent, and serve as a trusted advisor on key technologies and platforms.

Responsibilities

• Articulate and evangelize a bold technical vision for your domain
• Decompose complex problems into practical and operational solutions
• Ensure the quality of technical design and implementation
• Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability
• Continue learning and injecting advanced technical knowledge into our community
• Handle several projects simultaneously, balancing your time to maximize impact
• Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community
• Explore new cloud technologies and identify applications to leverage their potential
• Develop patterns for cloud to enable emerging business initiatives
• Collaborate with tech leaders to drive tech strategy
• Evangelize cloud strategy, solutions and best practices across the enterprise

Requirements

• Bachelor's Degree
• At least 7 years of experience with solution architecture or software engineering
• At least 5 years of experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
• At least 3 years of experience with Machine Learning frameworks (Pytorch, TensorFlow, XGBoost, ScikitLearn)

Nice-to-haves

• Master's Degree in Computer Science or a related field
• 10+ years of professional experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment and production support
• 7+ years of experience using Python or Java, or Go, and SQL
• 6+ years of experience in Machine Learning frameworks (Pytorch, TensorFlow, XGBoost, ScikitLearn, etc.)
• 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis
• 3+ years of experience with streaming and event driven technologies
• 1+ year of experience deploying machine learning models

Benefits

• Comprehensive health benefits
• Financial benefits including performance-based incentives
• Inclusive set of benefits supporting total well-being