Director, Machine Learning Cyber Engineer

Overview

West Creek 2 (12072), United States of America, Richmond, Virginia

Director, Machine Learning Cyber Engineer

Cyber security is one of the biggest threats of our day. In this role, you will have the opportunity to do work that protects our company and our customers.  We’re looking for someone who is passionate about cyber security and will help us achieve our business needs by driving delivery of Cyber tools and by integrating with software and processes across the company. Ensuring that Capital One’s Cyber Detection and Mitigation system capabilities are able to continually grow to address the newest/latest threats.

As a Capital One Machine Learning Cyber Engineer, you'll be providing technical leadership to Agileteams dedicated to productionizing machine learning applications and systems at scale. You’llparticipate in the detailed technical design, development, and implementation of machinelearning applications using existing and emerging technology platforms. Working within an Agileenvironment, you’ll serve as a technical domain expert in machine learning, guiding machinelearning architectural design decisions, developing and reviewing model and application code,and ensuring high availability and performance of our machine learning applications. You'll havethe opportunity to continuously learn and apply the latest innovations and best practices inmachine learning engineering. You’ll also mentor other engineers and further develop yourtechnical knowledge and skills to keep Capital One at the cutting edge of technology. 

What you’ll 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.

• Own the business or technical vision, collaborate with large cross-functional teams, secure commitments on deliverables and unblock teams to land business impact

• 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, or Java. 

• Evangelize best practices in all aspects of the engineering and modeling lifecycles.

• Attract and develop high-performing software engineers with an inspiring leadership style.

• Leverage your strong interpersonal, presentation/storytelling, and communications skills.

• Demonstrate Machine Learning industry impact through conference presentations, papers, blog posts, open source contributions, or patents. 

Basic Qualifications 

• Bachelor’s degree

• At least 7 years of experience designing and building data solutions using distributed computing. 

• At least 6 years of experience programming with Python, Scala, or Java.

• At least 5 years of people management experience.

• At least 3 years of experience with the machine learning development lifecycle. 

Preferred Qualifications

• 5+ years of experience delivering technical solutions 

• Master's or doctoral degree in computer science, electrical engineering or mathematics.

• 8+ years of experience within a data focused multi-line business environment.

• 5+ years of experience designing, building, implementing, and scaling production-ready data pipelines for ML models. 

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): $274,800 - $313,600 for Director, 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.

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 RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.com

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).