Applied Researcher ; AI Foundations, Recommendation Systems, Personalization, Reinforcement Le

Overview

Applied Researcher I (AI Foundations, Recommendation Systems, Personalization, Reinforcement Learning)

At Capital One, we are creating trustworthy and reliable AI systems to reimagine banking. We apply machine learning to real-time, automated customer experiences and scalable AI infrastructure. You will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses.

The AI Foundations team brings AI at Capital One to life across the research life cycle, partnering with Academia and building production systems. We work with product, technology and business leaders to apply state-of-the-art AI to our business.

• Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.

• Leverage a broad stack of technologies — PyTorch, AWS Ultra clusters, Hugging Face, Lightning, VectorDBs, and more — to reveal insights from large volumes of numeric and textual data.

• Build AI foundation models through all phases of development: design, training, evaluation, validation, and implementation.

• Engage in high-impact applied research to push AI developments into next-generation customer experiences.

• Translate complex research into tangible business goals.

• You love analyzing and creating, with a focus on making the right decisions for customers.

• Innovative: you continuously research and evaluate emerging technologies and stay current on state-of-the-art methods.

• Creative: you tackle big problems, ask questions, and share new ideas.

• Leadership: you challenge conventional thinking and help develop talent.

• Technical: you are comfortable with open-source languages and have hands-on experience developing AI foundation models and solutions using open-source tools and cloud platforms.

• Foundations of AI: deep understanding of core AI methodologies.

• Experience with large deep learning models (language, vision, events, or graphs) and expertise in training optimization, self-supervised learning, robustness, explainability, or RLHF.

• Engineering mindset: track record of delivering models at scale in training data and inference.

• Experience delivering libraries, platform-level code, or solution-level code to products.

• Strong ideas or improvements in machine learning, evidenced by publications or notable projects.

• Ability to own and pursue a research agenda, choosing impactful problems and carrying out long-running projects.

• Currently pursuing or holding a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, or a Master's with 2 years of applied research experience.

• PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields.

• LLM focus: NLP or related Master’s with industrial NLP research experience; multiple publications on pre-training of large language models; experience training large language models from scratch (10B+ parameters, 500B+ tokens); publications in deep learning theory; publications in major NLP conferences.

• Fine tuning: experience with supervised fine tuning, instruction-tuning, dialogue-fine tuning, or parameter tuning; knowledge of transfer learning and model adaptation; experience deploying fine-tuned LLMs.

• Data Preparation: publications on tokenization, data quality, dataset curation, labeling; contribution to major open-source corpora and open-source libraries for data quality and labeling.

Capital One will sponsor qualified applicants for employment authorization where required. Salaries vary by location and are listed in job postings by location. This role is eligible for performance-based incentive compensation. Capital One offers comprehensive benefits to support total well-being. Equal opportunity employer committed to non-discrimination and a drug-free workplace. Capital One will consider qualified applicants with criminal histories in accordance with applicable laws.

For accommodation requests related to the application process, contact Capital One Recruiting. Capital One is committed to maintaining a confidential and inclusive hiring process.