Applied Researcher II (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. 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 in vast datasets.
• Build AI foundation models throughout the development lifecycle, from design to deployment.
• Engage in high-impact applied research to advance customer experiences.
• Translate complex AI concepts into clear, actionable business goals.

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 relevant fields with 4 years of experience in Applied Research.
• Knowledge of emerging technologies and a track record of innovation.
• Strong interpersonal skills to communicate technical ideas effectively.

Qualifications

• Technical proficiency in open-source languages and cloud computing platforms.
• Experience with large-scale deep learning model development.
• Research publications in deep learning theory and applications.
• Experience with model optimization, sparsity, quantization, and parallelism.
• Track record of delivering large-scale AI solutions.

Skills

• Innovative problem-solving and creative thinking.
• Ability to lead and mentor a team.
• Strong communication and collaboration skills.

Benefits

Capital One offers a comprehensive benefits package including health, financial, and wellness programs. Details vary by location.

Pay

Salaries range from $262,500 to $326,800 annually, depending on location. Performance-based incentives may also be offered.

Schedule

This role is full-time and permanent.