Applied Researcher II (AI Foundations)

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.

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 Vector Databases to uncover insights in vast datasets.
• Build AI foundation models throughout the development lifecycle, from design to training, evaluation, validation, and deployment.
• Engage in high-impact 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.
• Exceptionally strong technical skills, including hands-on experience with deep learning frameworks like PyTorch, AWS, Huggingface, and others.
• Experience with large-scale deep learning models, particularly in areas like natural language processing, image recognition, and graph analysis.
• Knowledge of advanced AI methodologies such as training optimization, self-supervised learning, robustness, explainability, and reinforcement learning with human feedback (RLHF).
• Experience in delivering AI solutions at scale, including managing large datasets and high-volume inference.
• Track record of publishing in top-tier conferences and journals such as ACL, NAACL, EMNLP, NeurIPS, ICML, ICLR, etc.
• Ability to lead and mentor a team, fostering a culture of innovation and continuous improvement.

Qualifications

• Master's degree in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with a PhD obtained on or before the start date plus 2 years of relevant experience.
• Experience in NLP research and development, including training large language models and working with datasets of 10 billion parameters or more.
• Expertise in model compression, optimization, and parallelism, with a proven track record of applying these techniques to large-scale AI systems.
• Strong publication record in deep learning theory and applications, with multiple first-author papers in major conferences.
• Experience in designing and implementing AI solutions that have been deployed in production environments.

Skills

• Proficiency in programming languages such as Python, R, and C++.
• Experience with cloud platforms like AWS, Google Cloud, and Azure.
• Understanding of ethical considerations in AI and a commitment to responsible AI practices.
• Excellent communication and interpersonal skills to articulate technical concepts to non-technical stakeholders.

Benefits

Capital One offers a comprehensive benefits package designed to support your total well-being. This includes:

• Health, dental, and vision insurance plans.
• Flexible spending accounts for healthcare and dependent care expenses.
• Retirement savings plans with company matching.
• Employee assistance programs for personal and family issues.
• Professional development opportunities and training resources.

Pay

Salaries for this role vary by location, ranging from $262,500 to $326,800 annually. Performance-based incentives may also be offered.

Schedule

This role is full-time and permanent.

Contact Information

To apply for this position, please visit our careers website. No agencies please.