- Access Dubuque (Dubuque, IA)
- …learning ecosystem. The Metadata Specialist will collaborate with curriculum, assessment, data science , and product teams to ensure metadata structures ... with K-12 literacy and social studies curriculum, product, and data science teams to understand metadata needs...a brighter future lies within the application of our deep understanding of how learning happens and… more
- Amazon (New York, NY)
- …delivery use cases. Key job responsibilities - Design and implement novel deep learning architectures combining a multitude of modalities, including image, ... Description Join the next science and engineering revolution at Amazon's Delivery Foundation...scale, taking advantage of latest developments in hardware and deep learning libraries. - As a foundation… more
- Eliassen Group (Columbus, OH)
- …guide adoption of new technologies and techniques. + Stay current with advancements in data science , machine learning , AI research, and cloud architectures. ... **Experience Requirements** + Minimum 8 years of experience in data science , analytics, machine learning ,...deployment pipelines. + Experience with NLP, computer vision, or deep learning techniques. + Experience with automation… more
- NVIDIA (Santa Clara, CA)
- … and graph analytics, data - science , network analysis, cybersecurity, machine learning , or deep learning . + Experience developing with libraries in ... problems in computer science . Today, NVIDIA's GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots… more
- Gilead Sciences, Inc. (Foster City, CA)
- …in Research Data Sciences at Gilead. This individual will drive high-value data science impact on target identification and therapeutic strategies from close ... actions **Qualifications:** * A PhD in computational biology, computer science , data science , physical ...track record and expertise in AI/ML method applications, eg deep neural networks, large language models (LLMs), GenAI and… more
- TD Bank (New York, NY)
- …dispositions, QA findings, and remediation outcomes to refine detection logic. + Deep knowledge of data quality management concepts, including completeness, ... in the first line of defense responsible for the end-to-end testing, data quality oversight, effectiveness measurement, and validation of insider risk detection… more
- Argonne National Laboratory (Lemont, IL)
- The Data Science Learning Division at Argonne National Laboratory is seeking a postdoctoral researcher to conduct cutting-edge computational and systems ... Learning Development: Experience developing, validating, and deploying deep learning models, especially using Pytorch + Multi-Omic Data Representation:… more
- Johns Hopkins Applied Physics Laboratory (Laurel, MD)
- …that make a difference in real-world operations. We apply information processing, machine learning , deep learning , and signal processing to transform raw ... signals to hunt for submarines, analyze IP network traffic data to find anomalous events or traffic, or develop... to find anomalous events or traffic, or develop deep learning algorithms to classify objects in… more
- Amazon (Seattle, WA)
- …new features and machine learned models, including the application of state-of-art deep learning to solve search matching and ranking problems, including ... responsible for working across backend, client, business development, and data engineering teams to coordinate deep -dives, inform...C++, Python or related language - Experience with neural deep learning methods and machine learning… more
- Bosch (Pittsburgh, PA)
- …an exciting effort to explore intelligent multi-modal sensing at the intersection of deep learning and signal processing, with projects spanning smart home ... processes. **Qualifications** **Qualifications** _Required:_ + Currently pursuing a PhD in Computer Science , Electrical Engineering, Data Science , or a… more