Director, Machine Learning Cyber Engineer
Company: Capital One
Location: Atlanta
Posted on: April 25, 2024
Job Description:
West Creek 2 (12072), United States of America, Richmond,
VirginiaDirector, Machine Learning Cyber EngineerCyber 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 Agile teams 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. Working within an Agile environment, you'll
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. You'll also mentor other engineers and further develop
your technical 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
EngineeringCandidates 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 -. 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 . 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 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).
Keywords: Capital One, Roswell , Director, Machine Learning Cyber Engineer, Engineering , Atlanta, Georgia
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