Senior Applied Research Scientist

4 weeks ago

New York, New York, United States Capital One Full time

Overview

At Capital One, we are committed to building world-class applied science and engineering teams to continue our industry-leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. As an Applied Researcher II, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Key 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 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.
Translate the complexity of your work into tangible business goals.

Requirements
Currently has, or is in the process of obtaining, a PhD, with an expectation that required degree will be obtained on or before the scheduled start date plus at least 2 years of experience in Applied Research, or M.S. plus at least 4 years of experience in Applied Research.
PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering, or related fields.
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.
An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes.
Experience in delivering libraries, platform-level code, or solution-level code to existing products.
A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first-author publications or projects.

What We Offer
A comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being.
A minimum annual salary of $276,000 for this role in New York City (Hybrid On-Site).
Performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI).

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