Director, Machine Learning Engineer

Capital One • San Francisco, CA

12d

About The Position

As a Capital One Machine Learning Engineer, you'll be providing technical leadership to Agile teams dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. Working within an Agile environment, you’ll serve as a technical domain expert in machine learning, guiding machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You’ll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology. What you’ll do in the role: Deliver Machine learning models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams. Drive the creation and evolution of Machine learning models and software that enable state-of-the-art intelligent systems. Lead large-scale Machine learning initiatives with the customer in mind. Leverage cloud-based architectures and technologies to deliver optimized Machine learning models at scale. Optimize data pipelines to feed Machine learning models. Use programming languages like Python, Scala, or Java. Evangelize best practices in all aspects of the engineering and modeling lifycles. Recruit, nurture, and retain top engineering talent.

Requirements

• Bachelor’s degree.
• At least 10 years of experience designing and building data-intensive solutions using distributed computing.
• At least 6 years of experience programming with Python, Scala, or Java.
• At least 5 years of people management experience.
• At least 3 years of experience with the full Machine learning development lifecycle using modern technology in a business critical setting.

Nice To Haves

• Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field.
• 3+ years of experience building production-ready data pipelines that feed Machine learning models.
• 8+ years of experience within a large data-intensive multi-line business environment.
• 5+ years of experience leading software engineering teams.
• Expertise designing, implementing, and scaling complex production-ready data pipelines for Machine learning models.
• Experience partnering with technology peers responsible for data architecture and distributed computing infrastructure or platforms.
• Ability to communicate complex technical concepts clearly to a variety of audiences.
• Highly developed interpersonal, presentation, and communications skills.
• Machine learning industry impact through conference presentations, papers, blog posts, open source contributions, or patents.
• Ability to attract and develop high-performing software engineers with an inspiring leadership style.

Responsibilities

• Deliver Machine learning models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams.
• Drive the creation and evolution of Machine learning models and software that enable state-of-the-art intelligent systems.
• Lead large-scale Machine learning initiatives with the customer in mind.
• Leverage cloud-based architectures and technologies to deliver optimized Machine learning models at scale.
• Optimize data pipelines to feed Machine learning models.
• Use programming languages like Python, Scala, or Java.
• Evangelize best practices in all aspects of the engineering and modeling lifycles.
• Recruit, nurture, and retain top engineering talent.

Benefits

• Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
• Learn more at the Capital One Careers website.
• Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Number of Employees: 5,001-10,000 employees