Lead Machine Learning Engineer

4 weeks ago


New York, New York, United States Capital One Full time
Job Description

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 delivering machine learning models and components that solve real-world business problems.

Key Responsibilities:

  • Design and develop machine learning models and components using industry-recognized frameworks and tools.
  • Collaborate with cross-functional teams to integrate machine learning models into production applications.
  • Develop and maintain high-quality, scalable, and secure code.
  • Participate in code reviews and ensure adherence to best practices and coding standards.
  • Stay up-to-date with the latest advancements in machine learning and AI.

Requirements:

  • Bachelor's degree in Computer Science, 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 experience with industry-recognized machine learning frameworks 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:

  • A comprehensive and competitive benefits package.
  • A collaborative and dynamic work environment.
  • Opportunities for professional growth and development.
  • A chance to work on cutting-edge machine learning projects.

How to Apply:

Please submit your resume and cover letter to apply for this exciting opportunity.



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