Lead Machine Learning Engineer

5 days ago

New York, New York, United States Capital One Full time
Job Title: Lead Machine Learning Engineer

Capital One is seeking a highly skilled Lead Machine Learning Engineer to join our team. As a key member of our Agile team, you will be responsible for designing, building, and deploying machine learning applications and systems at scale.

About the Role

This is a unique opportunity to work on cutting-edge projects that drive business impact. You will collaborate with cross-functional teams to create and enhance software that enables state-of-the-art big data and machine learning applications.

Key Responsibilities
  • Design and develop machine learning models and components that solve real-world business problems.
  • Inform infrastructure decisions using your understanding of machine learning modeling techniques and issues.
  • Solve complex problems by writing and testing application code, developing and validating machine learning models, and automating tests and deployment.
  • Collaborate with the Product and Data Science teams to create and enhance software that enables state-of-the-art big data and machine learning applications.
  • Retrain, maintain, and monitor models in production.
  • Leverage cloud-based architectures, technologies, and/or platforms to deliver optimized machine learning models at scale.
  • Construct optimized data pipelines to feed machine learning models.
  • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of machine learning models and application code.
  • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the machine learning follows best practices in Responsible and Explainable AI.
Requirements
  • Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, or a related field.
  • 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 machine learning systems.
Preferred Qualifications
  • Master's or doctoral degree in Computer Science, Electrical Engineering, Mathematics, or a related field.
  • 3+ years of experience building production-ready data pipelines that feed machine learning models.
  • 3+ years of on-the-job experience with an industry-recognized machine learning 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 machine learning models.
  • 2+ years of people leader experience.
  • 1+ years of experience leading teams developing machine learning solutions using industry best practices, patterns, and automation.
  • Experience developing and deploying machine learning solutions in a public cloud such as AWS, Azure, or Google Cloud Platform.
  • Experience designing, implementing, and scaling complex data pipelines for machine learning models and evaluating their performance.
  • Machine learning industry impact through conference presentations, papers, blog posts, open source contributions, or patents.
What We Offer

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.

This role is expected to accept applications for a minimum of 5 business days.

Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law.

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