Job Description
AI Engineer Sr. Associate
****Overview:****
At Capital One, we are creating responsible and reliable AI systems, changing
banking for good. For years, Capital One has been an industry leader in using
machine learning to create real-time, personalized customer experiences. Our
investments in technology infrastructure and world-class talent — along with
our deep experience in machine learning — position us to be at the forefront
of enterprises leveraging AI. 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 continuing to
build world-class applied science and engineering teams to deliver 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 Intelligent Foundations and Experiences (IFX) team is at the center of
bringing our vision for AI at Capital One to life. We work hand-in-hand with
our partners across the company to advance the state of the art in science and
AI engineering, and we build and deploy proprietary solutions that are central
to our business and deliver value to millions of customers. Our AI models and
platforms empower teams across Capital One to enhance their products with the
transformative power of AI, in responsible and scalable ways for the highest
leverage impact.
- ***In this role, you will:** **
- Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
- Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
- Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
- Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.
- Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.__
- ***The Ideal Candidate:****
- You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.
- Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
- You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.
- You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.
- ***Basic Qualifications:****
- Bachelors degree in Computer Science, Engineering, or AI plus at least 2 years of experience developing AI and ML algorithms or technologies, or Masters degree
- At least 2 years of experience programming with Python, Go, Scala, or Java
- ***Preferred Qualifications:****
- 2 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
- Experience developing, delivering, and supporting AI components
- Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
- Masters degree in Computer Science, Computer Engineering, or relevant technical field
- Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
- * _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.
Sales Territory: $120,900 - $138,000 for AI Engineer
Cambridge, MA: $133,000 - $151,800 for AI Engineer
McLean, VA: $133,000 - $151,800 for AI Engineer
New York, NY: $145,100 - $165,600 for AI Engineer
San Francisco, CA: $145,100 - $165,600 for AI Engineer
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) andor 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
[
[email protected]](mailto:
[email protected]).
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 Ones recruiting process,
please send an email to
[
[email protected]_](mailto:
[email protected])
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).
Job Tags
Full time, Part time, Local area,