AI Research Engineer: Revolutionizing Banking with Emerging Technologies
7 days ago
Overview
At Capital One, we are pushing the boundaries of artificial intelligence to create trustworthy and reliable systems that transform banking for the better. Our team of experts is dedicated to applying the latest AI methodologies to deliver innovative solutions that meet the evolving needs of our customers.
The Role
We are seeking an exceptional AI Research Engineer to join our team in New York City or San Francisco. As a key member of our Applied Researcher II team, you will partner with cross-functional teams to develop and implement AI-powered products that redefine customer experiences.
Your Responsibilities:
- Collaborate with data scientists, software engineers, machine learning engineers, and product managers to design and deliver AI-driven solutions.
- Leverage a broad range of technologies, including Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more, to extract insights from large volumes of numeric and textual data.
- Develop and deploy AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.
- Engage in high-impact applied research to integrate the latest AI developments into next-generation customer experiences.
About You:
We're looking for a talented individual who shares our passion for innovation and excellence. You should have a strong background in AI research and development, with hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms.
Requirements:
- Currently holds or is in the process of obtaining a PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering, or related fields.
- At least 2 years of experience in Applied Research, or M.S. plus at least 4 years of experience in Applied Research.
- Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.
Benefits:
Capital One offers a comprehensive compensation package, including a competitive salary range of $276,000 - $315,000 per year for this role in New York City, and $292,400 - $333,700 per year in San Francisco. We also offer performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI). Additionally, you'll enjoy a range of benefits, including health insurance, financial assistance, and opportunities for professional growth and development.
About Capital One:
Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. We welcome applications from qualified candidates who share our values and are passionate about making a difference in the world of banking and finance.
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