Retrieval Embedding Models

Jiarui Cai's OpenReview profile lists him as a researcher at NVIDIA after prior research work at Amazon. The same profile highlights computer vision, multi-object tracking, and vision-and-language as areas of expertise.

OpenReview lists Gabriel de Souza P. Moreira as a researcher in NVIDIA's Merlin group. His public publication record centers on retrieval, recommender systems, and multimodal document retrieval.

NVIDIA's public author profile describes Benedikt Schifferer as the manager of an applied research team working on information retrieval and LLMs, following earlier work on recommender systems and the NVIDIA Merlin framework.

NVIDIA lists Yauhen Babakhin as a Senior Applied Research Scientist on its Kaggle Grandmasters team. Official FIT CTU pages also identify him with the Department of Applied Mathematics and describe his background in Knowledge Engineering, deep learning, and computer vision.

NVIDIA's author bio says he joined the company in 2020 and is a Kaggle Grandmaster; Johns Hopkins dissertation records list a PhD in Applied Mathematics and Statistics and earlier degrees from Fudan and Claremont Graduate University.

Even Oldridge leads NVTabular development at NVIDIA and works on deep learning-based recommender systems.

Her NVIDIA author bio says she previously worked on deep learning-based recommender systems, helped build the NVIDIA Merlin framework, and earned a PhD in Energy and Power Systems Engineering from CentraleSupelec in France.

Public NVIDIA Research materials identify Mengyao Xu as part of NVIDIA's AI and machine learning research community.

Oliver Holworthy is a co-author on NVIDIA's Nemotron ColEmbed V2 technical report on visual document retrieval. Public Hugging Face and GitHub accounts show the same name under NVIDIA-related namespaces, but a fuller standalone biography was not available.

Radek Osmulski's public homepage describes him as a senior research data scientist at NVIDIA working on deep learning and data science problems.

NVIDIA's KGMoN team page lists Ryan Chesler as a Senior Applied Research Scientist. Public sources also list him as a coauthor of the Nemotron ColEmbed V2 technical report.

Publicly listed as Zhiding Yu, co-author of the 2026 arXiv paper "Nemotron ColEmbed V2: Top-Performing Late Interaction Embedding Models for Visual Document Retrieval."

Jiarui Cai

Gabriel de Souza P. Moreira

Benedikt Schifferer

Yauhen Babakhin

Bo Liu

Even Oldridge

Ronay Ak

Mengyao Xu

Oliver Holworthy

Radek Osmulski

Ryan Chesler

Zhiding Yu