Applied Researcher II

About the role

The AI Foundations team at Capital One is central to bringing our vision for AI to life. We work across the entire research lifecycle, from academic partnerships to production systems. We collaborate with product, technology, and business leaders to apply the latest in AI to our business needs.

Responsibilities

• Partner with a cross-functional team to deliver AI-powered products that enhance customer interactions.
• Leverage a diverse stack of technologies including Pytorch, AWS Ultraclusters, Huggingface, Lightning, and VectorDBs to uncover insights from vast datasets.
• Build AI foundation models throughout the development lifecycle, from design to training, evaluation, validation, and deployment.
• Engage in cutting-edge applied research to advance AI capabilities and drive innovation in customer experiences.
• Communicate complex AI concepts to stakeholders to align on business goals and priorities.

Requirements

• Currently pursuing or recently obtained a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields.
• Experience in Applied Research or a Master's degree in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields combined with 4 years of experience in Applied Research.
• Knowledge of open-source languages and hands-on experience with developing AI foundation models and solutions using cloud computing platforms.
• A deep understanding of AI methodologies, particularly in areas like training optimization, self-supervised learning, robustness, explainability, and reinforcement learning.
• Experience in optimizing training for large-scale deep learning models, including model sparsification, quantization, and parallelism.
• Track record of delivering models at scale in terms of training data and inference volumes, and experience with compiler design and deep learning algorithmic design.
• Experience in transfer learning, model adaptation, and guided learning, with a focus on large language models.

Qualifications

• Basic qualifications include a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, or a Master's degree with relevant experience.
• Preferred qualifications include a PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering, or related fields, with a focus on Natural Language Processing (NLP).
• Experience with large language model training, optimization, and deployment.
• Publications in deep learning theory, ACL, NAACL, EMNLP, Neurips, ICML, ICLR, and other relevant conferences.
• Experience with compiler design, model compression, and transfer learning.
• Track record of developing and deploying large language models.

Skills

• Innovative and creative problem-solving skills.
• Strong communication and interpersonal skills to translate technical concepts into actionable business goals.
• Technical proficiency in deep learning frameworks and cloud computing platforms.
• Ability to lead and mentor a team in applied research and development.

Benefits

Capital One offers a comprehensive benefits package including health, financial, and wellness programs designed to support your total well-being.

Pay

Salaries for this role range from $262,500 to $299,600 for Applied Researcher II positions in McLean, VA, and from $286,400 to $326,800 for positions in New York, NY and San Jose, CA. Actual salaries may vary based on location and performance.

Schedule

This role is full-time and requires regular attendance and availability to meet project deadlines and client needs.

Benefits

Capital One offers a comprehensive benefits package including health, financial, and wellness programs designed to support your total well-being. This includes medical, dental, vision, retirement plans, paid time off, and more.