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About the Role
At Capital One, we are creating trustworthy and reliable AI systems to change banking for good. 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. 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 hidden within huge 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 take the latest AI developments and push them into the next generation of customer experiences.
- Translate the complexity of your work into tangible business goals.
- Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact.
Requirements
- Currently have, or be in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 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.
- Multiple publications on topics related to the pre-training of large language models.
- Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens).
- Publications in deep learning theory.
- Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR.
- PhD focused on topics related to optimizing training of very large deep learning models.
- Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression.
- Experience optimizing training for a 10B+ model.
- Deep knowledge of deep learning algorithmic and/or optimizer design.
- Experience with compiler design.
- PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning).
- Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance.
- Experience deploying a fine-tuned large language model.
Skills
- Pytorch
- AWS Ultraclusters
- Huggingface
- Lightning
- AI
- ML
- Large deep learning models
- Training optimization
- Self-supervised learning
- Robustness
- Explainability
- RLHF
- LLM
- NLP
Location
- Cambridge, MA
- McLean, VA
- New York, NY
- San Jose, CA
Work Type
- Full-time
Experience Level
- Applied Research
- Senior
Education Level
- PhD
- Master's Degree
Salary/Compensations
- Cambridge, MA: $262,500 - $299,600
- McLean, VA: $262,500 - $299,600
- New York, NY: $286,400 - $326,800
- San Jose, CA: $286,400 - $326,800
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.
- 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, 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.