Applied Researcher II
Capital One Financial
At a glance
AI generatedJoin our dynamic team as an Applied Researcher I and contribute to cutting-edge projects in geometric deep learning and sequential models. You will develop innovative solutions for large-scale graph neural networks and recommender systems, focusing on scaling these models to handle datasets with over 100 million users. Your daily tasks include proposing new methods for inference and representation learning, working with real-time data streams, and contributing to open-source frameworks like PyTorch-Geometric and DGL. Ideal candidates possess a PhD in relevant fields, multiple publications at top conferences such as KDD, ICML, NeurIPS, and ICLR, and hands-on experience scaling graph models beyond 50 million nodes. This role demands expertise in deep learning, behavioral modeling, and data preparation to address complex business challenges on a massive scale.
Skills
What you'll do
What we're looking for
Market check
This $218,700–$249,600 range sits above 89% of similar postings on FindRole.
Peer median band
$117,000–$225,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$138,279–$214,500
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking
Capital One Financial currently has 489 open roles on FindRole.
Listed pay typically runs $197,300–$225,100 across 483 roles with salary data.
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