Distinguished Machine Learning Engineer
Company: Capital One
Location: Wilmington
Posted on: October 30, 2024
Job Description:
Center 1 (19052), United States of America, McLean,
VirginiaDistinguished Machine Learning EngineerAs a Distinguished
Engineer at Capital One, you will be a part of a community of
technical experts working to define the future of banking in the
cloud.You will work alongside our talented team of developers,
machine learning experts, product managers and people leaders. Our
Distinguished Engineers are leading experts in their domains,
helping devise practical and reusable solutions to complex
problems. You will drive innovation at multiple levels, helping
optimize business outcomes while driving towards strong technology
solutions.At Capital One, we believe diversity of thought
strengthens our ability to influence, collaborate and provide the
most innovative solutions across organizational boundaries. You
will promote a culture of engineering excellence, and strike the
right balance between lending expertise and providing an inclusive
environment where the ideas of others can be heard and championed.
You will lead the way in creating next-generation talent for
Capital One Tech, mentoring internal talent and actively recruiting
to keep building our community.Distinguished Engineers are expected
to lead through technical contribution. You will operate as a
trusted advisor for our key technologies, platforms and capability
domains, creating clear and concise communications, code samples,
blog posts and other material to share knowledge both inside and
outside the organization. You will specialize in a particular
subject area, but your input and impact will be sought and expected
throughout the organization.In this role, you will be supporting
the Bank Tech organization. You will lead development and
implementation that will enable business initiatives, working with
other leaders and teams across the enterprise to enable these
solutions. -As a candidate for this role,you're able to seamlessly
switch from diving deep into technology with engineers to driving
high-level, strategic discussions. You are a naturally curious
technologist and stay on top of emerging trends, including
prototyping of nascent technologies. You are not afraid to question
any existing processes and solutions, yet you display a keen sense
of business value proposition and focus on the right priorities.Key
responsibilities:
- Articulate and evangelize a bold technical vision for your
domain
- Decompose complex problems into practical and operational
solutions
- Ensure the quality of technical design and implementation
- Serve as an authoritative expert on non-functional system
characteristics, such as performance, scalability and
operability
- Continue learning and injecting advanced technical knowledge
into our community
- Handle several projects simultaneously, balancing your time to
maximize impact
- Act as a role model and mentor within the tech community,
helping to coach and strengthen the technical expertise and
know-how of our engineering and product community
- Explore new cloud technologies and identify applications to
leverage their potential
- Develop patterns for cloud to enable emerging business
initiatives
- Collaborate with tech leaders to drive tech strategy
- Evangelize cloud strategy, solutions and best practices across
the enterpriseBasic Qualifications
- Bachelor's Degree
- At least 7 - years of experience with solution architecture or
software engineering
- At least 5 years of experience with cloud computing (AWS,
Microsoft Azure, Google Cloud)
- At least 3 years of experience with Machine Learning frameworks
(Pytorch, TensorFlow, XGBoost, ScikitLearn)Preferred Qualifications
- Master's Degree in Computer Science or a related field
- 10+ years of professional experience in the full lifecycle of
system development, from conception through architecture,
implementation, testing, deployment and production support
- 7+ years of experience using Python or Java, or Go, and
SQL
- 6+ years of experience in Machine Learning frameworks (Pytorch,
TensorFlow, XGBoost, ScikitLearn, etc.)
- 3+ years of experience with Kafka, Airflow, Spark, AWS
Glue/Kinesis
- 3+ years of experience with streaming and event driven
technologie
- 1+ year of experience deploying machine learning modelsCapital
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 Distinguished
Machine Learning EngineerCandidates 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, Wilmington , Distinguished Machine Learning Engineer, Engineering , Wilmington, Delaware
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