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Manager, Machine Learning Engineering
Posted on 5/3/2022
McLean, VA, USA
Experience Level
Desired Skills
Apache Spark
Data Science
Google Cloud Platform
Microsoft Azure
  • Bachelor's degree
  • At least 6 years of experience designing and building data-intensive solutions using
  • Distributed computing
  • At least 4 years of experience programming with Python, Scala, or Java
  • At least 2 years of experience building, scaling, and optimizing ML systems
  • At least 2 years of people leader experience
  • Manage a team of engineers with deep experience in machine learning and distributed systems
  • Deliver ML software models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams
  • Solve complex problems by writing and testing application code, developing and
  • Validating ML models, and automating tests and deployment
  • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art, next generation big data and machine learning applications
  • Leverage cloud-based architectures and technologies to deliver optimized ML models at scale
  • Construct optimized data pipelines to feed ML models
  • Use programming languages like Python, Scala, or Java
  • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code
  • Advocate for software and machine learning engineering best practices
  • Function as a technical lead
  • Attract, recruit, and support diverse ML engineering talent
  • Mentor junior ML engineering talent
Desired Qualifications
  • 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 ML models
  • 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
  • 2+ years of experience developing performant, resilient, and maintainable code
  • 2+ years of experience with data gathering and preparation for ML models
  • 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation
  • Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
  • Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance
  • ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents
Capital One

10,001+ employees

Sixth largest bank and financial service provider
Company Overview
Capital One was founded on the belief that no one should be locked out of the financial system. Their deep commitment to financial inclusion is reflected in their business, community partnerships, philanthropy, and most importantly, support for customers. Capital One is on a mission to change banking for good.
  • Medical, Dental, & Vision coverage
  • Onsite Health Centers
  • Prescription saving with network of local pharmacies
  • Stock Purchase Plan
  • Education Assistance
  • 401(k)
  • Flexible Spending Accounts
  • Life and Disability insurance
  • Generous paid time off + corporate & floating holidays
  • Registered dieticians on site, cooking classes and free virtual fitness classes
  • Employee Assistance Program
Company Values
  • Creating financial tools that enrich lives
  • Building thriving communities
  • Advocating for an inclusive society
  • Do the Right Thing