Lead Machine Learning Engineer

1 month 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 implementing machine learning applications using existing and emerging technology platforms.

Key Responsibilities:
  • Design and develop machine learning models and components that solve real-world business problems.
  • Collaborate with Product and Data Science teams to inform ML infrastructure decisions.
  • 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 big data and ML applications.
  • Retrain, maintain, and monitor models in production.
  • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
  • Construct optimized data pipelines to feed ML models.
  • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
  • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML 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 ML 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 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.
  • 2+ years of people leader experience.
  • 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 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.

This role is expected to accept applications for a minimum of 5 business days. No agencies please. 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. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

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