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About the Role

At Capital One, we are creating responsible and reliable AI systems to change banking for good. We are committed to building world-class applied science and engineering teams to deliver breakthrough product experiences and scalable, high-performance AI infrastructure. In this role, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses.

Responsibilities

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products.
Oversee the design, development, testing, deployment, and support of AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, governance, and observability.
Make build-vs-buy decisions across a broad stack of AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch.
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance of large-scale production AI systems.
Contribute to the technical vision and long-term roadmap of foundational AI systems at Capital One.
Attract and retain top talent in the AI industry and nurture personal and professional development for your team.
Foster a culture of learning and staying abreast of the state-of-the-art in AI.

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies.
At least 1 year of people leadership experience.
3 years of experience managing and leading an engineering team.
6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud).
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.
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production.
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers.

Skills

AI
ML
Foundation model training
Large language model inference
Similarity search
Guardrails
Model evaluation
Experimentation
Governance
Observability
AWS Ultraclusters
Huggingface
VectorDBs
Nemo Guardrails
PyTorch
LLM optimization
Python
C++
C#
Java
Golang

Location

Cambridge, MA
McLean, VA
New York, NY
San Francisco, CA
San Jose, CA

Work Type

Full-time

Experience Level

Senior Manager
6 years of experience
4 years of experience
1 year of people leadership experience
3 years of experience managing and leading an engineering team
6 years of experience deploying scalable and responsible AI solutions on cloud platforms

Education Level

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields
Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields

Salary/Compensations

Cambridge, MA: $229,900 - $262,400
McLean, VA: $229,900 - $262,400
New York, NY: $250,800 - $286,200
San Francisco, CA: $250,800 - $286,200
San Jose, CA: $250,800 - $286,200

Benefits

Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

About the Company

At Capital One, we’re building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit.

Equal Opportunity

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws.
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.