Applied Researcher I (AI Foundations, LLM Core and Agentic AI)

About the role

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

Requirements

• Currently pursuing or recently obtained a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields.
• Experience with open-source languages and cloud computing platforms like AWS, Google Cloud, or Azure.
• Hands-on experience with large-scale deep learning model development and optimization.
• Knowledge of foundational AI methodologies, including training optimization, self-supervised learning, robustness, explainability, and reinforcement learning.
• Experience with model compression techniques, parallelization, and distributed training.
• Track record of publishing in top-tier conferences and journals such as NeurIPS, ICML, ICLR, ACL, NAACL, and EMNLP.
• Experience with large-scale language model training and fine-tuning.
• Ability to lead and mentor a team of researchers.

Qualifications

• Master's degree in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with a PhD preferred.
• At least 2 years of industrial experience in applied research.
• Experience with NLP research and development.
• Publications in deep learning theory and applications.
• Experience with large-scale language model training and fine-tuning.
• Experience with model sparsification, quantization, and training optimization.
• Experience with compiler design and deep learning algorithmic design.
• Experience with transfer learning, model adaptation, and model guidance.
• Experience deploying large language models in production environments.

Skills

• Strong programming skills in Python, R, or equivalent.
• Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Knowledge of natural language processing (NLP) and computer vision.
• Experience with distributed computing and cloud-based platforms.
• Excellent communication and collaboration skills.

Benefits

Capital One offers a comprehensive benefits package that includes:

• Health, dental, and vision insurance
• Retirement savings plans
• Flexible spending accounts
• Employee assistance programs
• Professional development opportunities
• Generous paid time off

Pay

Salaries for this role range from $218,700 to $272,300 annually, depending on location.

Schedule

This role is full-time.