Senior Manager, Machine Learning Engineering

Center 1 (19052), United States of America, McLean, Virginia

Senior Manager, Machine Learning Engineering

The Team

We are a multidisciplinary team with expertise in machine learning, data engineering, and software development. Our work spans from security detection to risk profiling, and we also use generative AI to boost operational efficiency. We seamlessly integrate vendor technologies with our custom in-house solutions to tackle a wide range of complex cybersecurity challenges.

As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure 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. 

What you’ll do in the role: 

• Work in a collaborative and agile environment with internal customers, product team, and other stakeholders to design robust ML-based technical solutions

• Transform complex analytical models into scalable, production-ready applications using modern cloud-based technology and large scale data platforms

• Build machine learning platform with multiple types of ML capabilities in Cyber context, including anomaly detection, supervised learning, graph, generative AI, etc.

• Build end-to-end machine learning workflow, from data pipeline, modeling, tuning, evaluation, to continuous improvement, etc.  

• Build ML service APIs that support critical operational and analytical applications for our internal business operations, customers and partners

• Lead and grow one or more engineering teams for new product development as well as support for Cyber’s daily operations

• Provide technical guidance to team members on machine learning, distributed systems, cloud computing, etc.

Basic Qualifications: 

• Bachelor’s degree 

• At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)

• 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

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

• 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

• 3+ years of people management experience 

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

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

• 3+ years of experience of working with DataBricks, SnowFlake, or other data warehouse and data lake products and technologies

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Mgr, Machine Learning Engineering

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may inclu