Senior Applied Research Scientist, Data Curation

Job not on LinkedIn

🔥 0 minutes ago

🏄 California, Florida, +3 more states – Remote

🏄 California – Remote 🐊 Florida – Remote 🗽 New York – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $224k - $356.5k / year

⏰ Full Time

🟠 Senior

🧬 Research Scientist

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Develop efficient and performant models and data pipelines that extract and curate multimodal data—documents, images, audio, and videos—for foundation-model training • Build petabyte-scale extraction and content-deduplication pipelines, including document and HTML parsing, fuzzy and near-duplicate deduplication, semantic deduplication, and substring deduplication • Expand and optimize curation methodologies for petabyte-scale multimodal data across hundred-node GPU clusters • Explore and craft datasets, metrics, experiments, and validation scripts to develop standard research methodologies • Help ML Engineers scale pipelines to production through NVIDIA Inference Microservices (NIMs) and blueprints • Write papers, blog posts, documentation, and training materials for customers • Keep up to date with data-curation developments in academia and industry • Collaborate with Applied Research Scientists, Machine Learning Engineers, and MLOps Engineers • Mentor junior engineers and interns

🎯 Requirements

• Master's, Ph.D. or equivalent experience in data curation, document AI, information retrieval or multimodal research • Track record of publication in leading conferences such as CVPR, ICCV, ECCV, KDD, etc. • Hands-on experience developing computer vision and document-extraction models and pipelines, including layout analysis, OCR, and table, figure, or formula extraction • Kaggle Grandmaster status or a strong record of top-tier results in machine learning competitions is a strong plus • Understanding of the state of the art in data curation research, focused on multimodal content extraction and deduplication • 10+ years of experience developing multimodal systems across a range of models and platforms • Information retrieval experience is a big plus • Expertise managing distributed data frameworks such as Ray, Spark, or Dask • History of deploying massive, multi-node machine learning or data processing tasks within production environments • Knowledge of batching, streaming, and scaling ingestion pipelines • Excellent Python programming skills • Strong hands-on experience with PyTorch or comparable modern deep learning frameworks • Ability to communicate ideas through blog posts, papers, kernels, GitHub, etc. • Excellent communication and interpersonal skills • Ability to work in a dynamic, user-focused, distributed team

🏖️ Benefits

• Highly competitive salary • Equity • Comprehensive benefits package