Applied Researcher I
Company: Capital One
Location: Barrington
Posted on: April 24, 2024
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Job Description:
Center 3 (19075), United States of America, McLean,
VirginiaApplied Researcher IAt Capital One, we are creating
trustworthy and reliable AI systems, changing banking for good. For
years, Capital One has been leading the industry in using machine
learning to create real-time, intelligent, automated customer
experiences. From informing customers about unusual charges to
answering their questions in real time, our applications of AI & ML
are bringing humanity and simplicity to banking. We are committed
to building world-class applied science and engineering teams and
continue our industry leading capabilities with breakthrough
product experiences and scalable, high-performance AI
infrastructure. At Capital One, you will help bring the
transformative power of emerging AI capabilities to reimagine how
we serve our customers and businesses who have come to love the
products and services we build. Team Description: The AI
Foundations team is at the center of bringing our vision for AI at
Capital One to life. Our work touches every aspect of the research
life cycle, from partnering with Academia to building production
systems. We work with product, technology and business leaders to
apply the state of the art in AI to our business. In this role, you
will: Partner with a cross-functional team of data scientists,
software engineers, machine learning engineers and product managers
to deliver AI-powered products that change how customers interact
with their money. Leverage 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. Build AI foundation models through all phases of
development, from design through training, evaluation, validation,
and implementation. Engage in high impact applied research to take
the latest AI developments and push them into the next generation
of customer experiences. Flex your interpersonal skills to
translate the complexity of your work into tangible business goals.
The Ideal Candidate: You love the process of analyzing and
creating, but also share our passion to do the right thing. You
know at the end of the day it's about making the right decision for
our customers. Innovative. You continually research and evaluate
emerging technologies. You stay current on published
state-of-the-art methods, technologies, and applications and seek
out opportunities to apply them. Creative. You thrive on bringing
definition to big, undefined problems. You love asking questions
and pushing hard to find answers. You're not afraid to share a new
idea. A leader. You challenge conventional thinking and work with
stakeholders to identify and improve the status quo. You're
passionate about talent development for your own team and beyond.
Technical. You're comfortable with open-source languages and are
passionate about developing further. You have hands-on experience
developing AI foundation models and solutions using open-source
tools and cloud computing platforms. Has a deep understanding of
the foundations of AI methodologies. Experience building large deep
learning models, whether on language, images, events, or graphs, as
well as expertise in one or more of the following: training
optimization, self-supervised learning, robustness, explainability,
RLHF. An engineering mindset as shown by a track record of
delivering models at scale both in terms of training data and
inference volumes. Experience in delivering libraries, platform
level code or solution level code to existing products. A
professional with a track record of coming up with high quality
ideas or improving upon existing ideas in machine learning,
demonstrated by accomplishments such as first author publications
or projects. Possess the ability to own and pursue a research
agenda, including choosing impactful research problems and
autonomously carrying out long-running projects. Basic
Qualifications: PhD or M.S. with at least 2 years of experience in
Applied Research Preferred Qualifications: PhD in Computer Science,
Machine Learning, Computer Engineering, Applied Mathematics,
Electrical Engineering or related fields LLM PhD focus on NLP or
Masters with 5 years of industrial NLP research experience Multiple
publications on topics related to the pre-training of large
language models (e.g. technical reports of pre-trained LLMs, SSL
techniques, model pre-training optimization) Member of team that
has trained a large language model from scratch (10B + parameters,
500B+ tokens) Publications in deep learning theory Publications at
ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training
& Inference) PhD focused on topics related to optimizing training
of very large deep learning models Multiple years of experience
and/or publications on one of the following topics: Model
Sparsification, Quantization, Training Parallelism/Partitioning
Design, Gradient Checkpointing, Model Compression Experience
optimizing training for a 10B+ model Deep knowledge of deep
learning algorithmic and/or optimizer design Experience with
compiler design Finetuning PhD focused on topics related to guiding
LLMs with further tasks (Supervised Finetuning, Instruction-Tuning,
Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of
principles of transfer learning, model adaptation and model
guidance Experience deploying a fine-tuned large language model
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): $230,000 - $262,500 for Applied
Researcher ISan Francisco, California (Hybrid On-Site): $243,700 -
$278,100 for Applied Researcher ICandidates 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
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, Malden , Applied Researcher I, Other , Barrington, Massachusetts
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