AI Technology Intern supporting strategic initiatives and AI - enabled projects in a corporate environment. Gaining hands - on experience while working closely with cross - functional teams to drive business outcomes.
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Onsite Applied Researcher I, AI Foundations, LLM Customization, Finetuning, Reinforcement Learning
Posted yesterday
About the role
- Applied Researcher I at Capital One focusing on AI in banking. Collaborating with cross-functional teams to develop AI-powered products with a focus on customer interactions.
Responsibilities
- 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 Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data.
- Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.
- Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals.
Requirements
- Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields
- M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research
- experience building large deep learning models, whether on language, images, events, or graphs
- expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF
- ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects
- member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens)
Benefits
- performance based incentive compensation which may include cash bonus(es) and/or long term incentives (LTI)
- comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
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