Lead Machine Learning Engineer
4 weeks ago
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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