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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 technologies like Pytorch, AWS Ultraclusters, and Huggingface 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.
- Comfortable with open-source languages and passionate about development.
- 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
- Deep learning
- AI foundation models
- Machine learning
- NLP
- LLM
- Geometric deep learning
- Graph Neural Networks
- Sequential Models
- Multivariate Time Series
- Recommender systems
- Model Sparsification
- Quantization
- Training Parallelism/Partitioning Design
- Gradient Checkpointing
- Model Compression
- Deep learning algorithmic design
- Optimizer design
- Compiler design
- Supervised Finetuning
- Instruction-Tuning
- Dialogue-Finetuning
- Parameter Tuning
- Transfer learning
- 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
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 plus 2 years of experience in Applied Research
- PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields
- PhD focus on NLP or Masters with 5 years of industrial NLP research experience
- PhD focus on topics in geometric deep learning
- PhD focused on topics related to optimizing training of very large deep learning models
- PhD focused on topics related to guiding LLMs with further tasks
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.
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.
- Our applications of AI & ML are bringing humanity and simplicity to banking.
- 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.