Distinguished Machine Learning Engineer (Director IC)
Company: Capital One Careers
Location: Baltimore
Posted on: November 13, 2024
Job Description:
Plano 1 (31061), United States of America, Plano, Texas
Distinguished Machine Learning Engineer (Director IC) At Capital
One, we believe that machine learning represents the biggest
opportunity in financial services today, and is a chance to
revolutionize the industry. Capital One's commitment to machine
learning has sponsorship from the CEO, the Board of Directors, and
the executive committee of the company. The Center for Machine
Learning is at the heart of this effort, and is leading the way
towards building responsible and impactful tools, platforms, and
solutions that leverage ML. As a Capital One Machine Learning
Engineer, you'll be providing technical leadership to engineering
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.
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. About the team:-- As part of FS AI labs
you will be working on AI initiatives within Financial Services
with a focus on Applied AI and Machine Learning (AI/ML), Generative
AI, Natural Language Processing (NLP), and Responsible AI. The
primary objective of FS AI Labs is to drive the research and
delivery of innovative AI and ML use cases that leverage these
cutting-edge technologies. You will work on exploring new
frontiers, build prototypes, and deliver transformative AI use
cases that drive Capital One Financial Services business growth and
enhance customer experience. What you'll do in the role:
- Lead large-scale ML initiatives with the customer in mind.
- Lead the development of AI and ML use cases that leverage state
of art AI and ML techniques, working in collaboration with the
Product, Architecture, Engineering, and Data Science teams.
- Stay abreast of the latest advancements in Generative AI, Large
Language Models, NLP. Drive research efforts to identify new
opportunities and use cases, pushing the boundaries based on
feasibility.
- Collaborate with business stakeholders to understand the needs
and identify opportunities where AI can be applied.--
- Leverage cloud-based architectures and technologies to deliver
optimized ML models at scale.
- Evangelize best practices in all aspects of the AI/ML
engineering and modeling lifecycles.
- Help recruit, nurture, and retain top engineering talent. Basic
Qualifications
- Bachelor's degree.
- At least 10 years of experience designing and building
data-intensive solutions using distributed computing.
- At least 6 years of experience programming in C, C++, Python,
or Scala.
- At least 3 years of experience with the full ML development
lifecycle using modern technology in a business critical
setting.
- At least 2 years of experience using Dask, RAPIDS, or in High
Performance Computing
- At least 2 years of experience with the PyData ecosystem
(NumPy, Pandas, and Scikit-learn) Preferred Qualifications
- Master's degree or PhD in Engineering, Computer Science, a
related technical field, or equivalent practical experience with a
focus on modern AI techniques.
- Experience with one or multiple areas of AI technology stack
including prompt engineering, guardrails, vector
databases/knowledge bases, LLM fine-tuning, LLM Evaluation.
- Experience developing AI and ML algorithms in Python or
C/C++
- Experience with building LLM based chatbots in production
including experience with developing multi turn and agentic
workflows and LLM pre training.
- Experience partnering with technology peers responsible for
data architecture and distributed computing
infrastructure/platforms.
- Experience leveraging a broad stack of technologies - Pytorch,
AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to
reveal the insights hidden within huge volumes of numeric and
textual data
- Ability to communicate complex technical concepts clearly to a
variety of audiences.
- ML industry impact through conference presentations, papers,
blog posts, or open source contributions.
- Ability to attract and develop high-performing software
engineers with an inspiring leadership style. -- Capital One will
consider sponsoring a new qualified applicant for employment
authorization for this position. 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
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).
Keywords: Capital One Careers, Cherry Hill , Distinguished Machine Learning Engineer (Director IC), Engineering , Baltimore, New Jersey
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