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Senior Manager, Machine Learning Engineering

Location New York, New York
Job ID R122632 Updated date 09/13/2021
Recruiting: NY - New York, United States of America, New York, New York

Senior Manager, Machine Learning Engineering

 

As a Capital One Senior Manager of Machine Learning Engineering, you'll manage an Agile team dedicated to developing, optimizing, delivering, and improving machine learning applications and systems. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. Working within an Agile environment, you’ll serve as a technical lead, 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. You’ll mentor other engineers and develop your technical knowledge and skills to keep Capital One at the cutting edge of technology.  

What you’ll do in the role: 

  • Manage a team of engineers with deep experience in machine learning and distributed systems

  • Lead a portfolio of diverse machine learning projects 

  • Deliver ML software models and components that solve real-world business problems, while working in collaboration with our Product and Data Science teams

  • 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, next generation big data and machine learning applications

  • Leverage cloud-based architectures and technologies to deliver optimized ML models at scale 

  • Construct optimized data pipelines to feed ML models 

  • Use programming languages like Python, Scala, or Java

  • Leverage Continuous Integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployments of ML models and application code 

  • Advocate for software and machine learning engineering best practices

  • Function as the engineering tech lead for large-scale initiatives 

  • Attract, recruit, and support diverse ML engineering talent 

  • Mentor junior ML engineering talent 

Basic Qualifications 

  • Bachelor’s degree 

  • At least 8 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 3 years of experience building, scaling, and optimizing ML systems

  • At least 2 years of experience leading teams developing ML solutions

  • At least 4 years of people management experience. 

Preferred Qualifications 

  • Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 

  • 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 

  • 3+ years of experience developing performant, resilient, and maintainable code

  • 3+ years of experience with data gathering and preparation for ML models

  • Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 

  • 3+ years of experience building production-ready data pipelines that feed ML models

  • Ability to communicate complex technical concepts clearly to a variety of audiences

  • ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.




 

 

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, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, 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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Who We Are

At Capital One, we’re building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.

Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.