Senior Manager, Machine Learning Engineering

Hartford, CT, United States

Company Description

Jobs for Humanity is partnering with Capital One to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals. This position is open to candidates who reside in and have the legal right to work in the country where the job is located.

Company Name: Capital One

Job Description

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

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 include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

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 (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable 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.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to [email protected]

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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