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About the Role
Capital One is creating trustworthy and reliable AI systems to transform banking. We are committed to building world-class applied science and engineering teams to leverage emerging AI capabilities and reimagine customer and business experiences.
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 including Pytorch, AWS Ultraclusters, Huggingface, and Lightning to analyze 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 work into tangible business goals.
- Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings.
Requirements
- Innovative mindset with continuous research and evaluation of emerging technologies and state-of-the-art methods.
- Creative problem-solver who thrives on defining and solving big, undefined problems.
- Leadership qualities, challenging conventional thinking and improving 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
- NLP
- LLM
- Geometric Deep Learning
- Graph Neural Networks
- Sequential Models
- Multivariate Time Series
- Model Sparsification
- Quantization
- Training Parallelism/Partitioning Design
- Gradient Checkpointing
- Model Compression
- Supervised Finetuning
- Instruction-Tuning
- Dialogue-Finetuning
- Parameter Tuning
- Tokenization
- Data Quality
- Dataset Curation
- Labeling
Location
- McLean, VA
- Cambridge, MA
- New York, NY
- San Francisco, CA
- San Jose, CA
Work Type
- Full-time
Experience Level
- Applied Researcher 4
- PhD
- M.S. plus 2 years of experience
- 5 years of industrial NLP research experience
- Multiple years of experience
Education Level
- PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields
- M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields
- PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields
Salary/Compensations
- McLean, VA: $218,700 - $249,600
- Cambridge, MA: $218,700 - $249,600
- New York, NY: $238,600 - $272,300
- San Francisco, CA: $238,600 - $272,300
- San Jose, CA: $238,600 - $272,300
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
- Capital One is creating trustworthy and reliable AI systems, changing banking for good.
- 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.
- 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.
- 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.
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.