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Capital One: Distinguished Machine Learning Engineer

Capital One

This is a Full-time position in Cambridge, MA posted September 12, 2021.

11 West 19th Street (22008), United States of America, New York, New YorkDistinguished Machine Learning EngineerAt Capital One, we believe that machine learning represents the biggest opportunity in financial services today, and is a chance to revolutionize the industry.

Capital Ones commitment to machine learning has sponsorship from the CEO, the Board of Directors, and the executive committee of the company.

The Center for Machine Learning is at the heart of this effort, and is leading the way towards building responsible and impactful tools, platforms, and solutions that leverage ML.As a Capital One Machine Learning Engineer, you’ll be providing technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale.

Youll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms.

Youll serve as a technical domain expert in machine learning, guiding machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications.

You’ll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.

Youll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology.What youll do in the role:Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams.Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems.Lead large-scale ML initiatives with the customer in mind.Leverage cloud-based architectures and technologies to deliver optimized ML models at scale.Optimize data pipelines to feed ML models.Use programming languages like Python, Scala, C/C++.Leverage compute technologies such as Dask and RAPIDSEvangelize best practices in all aspects of the engineering and modeling lifecycles.Help recruit, nurture, and retain top engineering talent.Basic QualificationsBachelors degree.At least 10 years of experience designing and building data-intensive solutions using distributed computing.At least 6 years of experience programming in C, C++, Python, or Scala.At least 3 years of experience with the full ML development lifecycle using modern technology in a business critical setting.At least 2 years of experience using Dask, RAPIDS, or in High Performance ComputingAt least 2 years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn)Preferred QualificationsMaster’s or doctoral degree in computer science, electrical engineering, mathematics, or a similar field.At least 3 years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models.At least 8 years of experience within a large/data-intensive multi-line business environment.Experience partnering with technology peers responsible for data architecture and distributed computing infrastructure/platforms.Ability to communicate complex technical concepts clearly to a variety of audiences.ML industry impact through conference presentations, papers, blog posts, or open source contributions.Ability to attract and develop high-performing software engineers with an inspiring leadership style.At this time, Capital One will not sponsor a new applicant for employment authorization for this Jobble