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About the Role
Capital One is building responsible and reliable AI systems to transform banking. We are at the forefront of enterprises leveraging AI, using machine learning for personalized customer experiences and bringing humanity and simplicity to banking. This role will help bring transformative AI capabilities to reimagine how we serve 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.
- Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
- Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.
- Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance of large scale production AI systems.
- Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.
- Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment.
- Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift.
- Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines.
- Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met.
- Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation.
Requirements
- Bachelor'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, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies.
- At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java.
Skills
- AI
- ML
- Python
- Go
- Scala
- CUDA
- Java
- AWS Ultraclusters
- Huggingface
- VectorDBs
- PyTorch
- LLM Inference
- Similarity Search
- VectorDBs
- Guardrails
- Memory
- C++
- C#
- Golang
- Distributed systems
- Model training
- Model evaluation
- Online inference
- AI model governance
- Producibility
- Lineage tracking
- Automated retaining schedules
Location
- Sales Territory
- McLean, VA
- Cambridge, MA
- New York, NY
- San Jose, CA
Work Type
- full-time
Experience Level
- 4 years of experience developing AI and ML algorithms or technologies
- 2 years of experience developing AI and ML algorithms or technologies
- 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
- $179,400 - $204,700
- $197,300 - $225,100
- $215,200 - $245,600
Benefits
- Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
- Eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).
About the Company
- 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.
- 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.
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.