
Posted 2 days ago
Applied Researcher II (AI Foundations)
Capital OneApplied Researcher II (AI Foundations)
Requirements
PhD in CS, AI, Math, or related field plus 2 years experience, OR MS in related field plus 4 years experience, Experience building large deep learning models, Hands-on experience with AI foundation models, Proficiency in open-source languages and cloud platforms
Skills
PyTorchAWSLLMDeep Learning
About the role
Responsibilities
- Partner with cross-functional teams of data scientists, software engineers, and product managers to deliver AI-powered products.
- Build AI foundation models through all development phases, including design, training, evaluation, and implementation.
- Leverage a broad technology stack including PyTorch, AWS Ultraclusters, Huggingface, Lightning, and VectorDBs.
- Engage in high-impact applied research to translate the latest AI developments into next-generation customer experiences.
- Own and pursue a research agenda by identifying impactful problems and autonomously carrying out long-running projects.
Requirements
- PhD in Computer Science, AI, Mathematics, Electrical Engineering, or a related field plus 2 years of experience in Applied Research, OR an MS in a related field plus 4 years of experience.
- Hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms.
- Experience building large deep learning models (language, images, events, or graphs).
- Proficiency in open-source programming languages.
- Deep understanding of AI methodologies and expertise in areas such as training optimization, self-supervised learning, robustness, explainability, or RLHF.
Preferred Qualifications
- PhD focus on Natural Language Processing (NLP) or extensive industrial NLP research experience.
- Experience as a member of a team that has trained a large language model from scratch (10B+ parameters).
- Expertise in model optimization, including quantization, sparsification, or training parallelism.
- Demonstrated knowledge of transfer learning, model adaptation, and fine-tuning principles.
- A track record of publications in top-tier venues such as ACL, NeurIPS, ICML, or ICLR.
Benefits
- Comprehensive, competitive, and inclusive health, financial, and other benefits.
- Performance-based incentive compensation, which may include cash bonuses or long-term incentives.
- Support for total well-being, including mental and physical health resources.
About the Company
Capital One is a leader in using machine learning to create real-time, intelligent, and automated customer experiences. The AI Foundations team works at the center of the research life cycle to build production systems and apply state-of-the-art AI to transform the banking industry.
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Get started — it's freeApplied Researcher II (AI Foundations)
Capital One · New York
