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About the Role
At Capital One, we are creating trustworthy and reliable AI systems to transform banking. We are committed to building world-class applied science and engineering teams to advance our industry-leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. 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 data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products.
- Leverage a broad stack of technologies to reveal insights within large 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 push the latest AI developments into the next generation of customer experiences.
- Translate the complexity of your work into tangible business goals.
- Define and evolve the company’s long-term research agenda, identifying emergent scientific opportunities and steering foundational investments in AI innovation.
Requirements
- Innovative mindset with continuous research and evaluation of emerging technologies.
- Creative approach to defining and solving big, undefined problems.
- Leadership skills to challenge conventional thinking and improve the status quo.
- Technical proficiency with open-source languages and hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms.
- Deep understanding of AI methodologies.
- Experience building large deep learning models (language, images, events, or graphs).
- Expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.
- Engineering mindset with a track record of delivering models at scale.
- Experience in delivering libraries, platform level code or solution level code to existing products.
- Track record of generating high-quality ideas or improving existing machine learning ideas, demonstrated by accomplishments such as first author publications or projects.
- Ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects.
Skills
- Pytorch
- AWS Ultraclusters
- Huggingface
- Lightning
- AI
- ML
- Deep Learning
- Graph Neural Networks
- Sequential Models
- Multivariate Time Series
- Self-supervised learning
- Robustness
- Explainability
- RLHF
- Geometric deep learning
Location
- Cambridge, MA
- McLean, VA
- New York, NY
- San Francisco, CA
- San Jose, CA
Work Type
- Full-time
Experience Level
- Sr. Staff
- 6 years of experience in Applied Research (with PhD)
- 8 years of experience in Applied Research (with MS)
Education Level
- PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields
- MS in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields
Salary/Compensations
- Cambridge, MA: $350,000 - $399,500
- McLean, VA: $350,000 - $399,500
- New York, NY: $381,800 - $435,700
- San Francisco, CA: $381,800 - $435,700
- San Jose, CA: $381,800 - $435,700
Benefits
- Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
- Eligible for 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 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.
- 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.
- Capital One Financial is made up of several different entities.
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.