Engineering Manager, Machine Learning
RunwayFull Time
Junior (1 to 2 years), Senior (5 to 8 years)
Candidates should possess a Bachelor’s degree in Computer Science, Software Engineering, or a related field, and have at least 8 years of experience in software engineering, with a strong focus on machine learning engineering. Demonstrated experience leading and managing software engineering teams is essential, along with a deep understanding of machine learning principles and practices.
As a Senior Manager, Machine Learning Engineering, you will lead multiple teams to build and scale Machine Learning Model Governance and AI Observability platforms & SDK’s, mentor and guide engineers, collaborate with product leaders to define strategy and roadmap, bring a passion for staying current with technology trends, encourage innovation and implementation of state-of-the-art research technologies, and work on cutting-edge Gen AI frameworks and their instrumentation to analyze and optimize model performance, latency, and resource utilization.
Offers diverse financial products and services
Capital One provides a variety of financial services aimed at making banking accessible and easy for everyone. The company offers products such as credit cards, savings accounts, car loans, and business checking accounts, catering to both individual consumers and small businesses primarily in the United States. Capital One's approach includes user-friendly banking solutions with no fees or minimums for checking accounts, allowing customers to manage their finances more effectively. They generate revenue through interest on loans, credit card fees, and investment banking services. What sets Capital One apart from its competitors is its strong commitment to financial inclusion and literacy, demonstrated through community partnerships and educational initiatives, such as collaborations with Khan Academy. The company's goal is to create a more inclusive financial system and empower customers with the knowledge and tools they need to make informed financial decisions.