- Suny Polytechnic Institute (Utica, NY)
- …of multi-mode large language models and hybrid AI systems combining artificial neural networks with symbolic AI. In-house research and development of one of ... plus. Some familiarity with programming of hybrid AI systems (symbolic AI + neural networks) is a plus. Experience with spatial sensing methods and technologies… more
- William C Brown Inc (Springfield, VA)
- …with deep learning frameworks such as PyTorch or Tensorflow to optimize convolutional neural networks (CNN) such as ResNet or U-Net for object detection or ... experience with Explainable AI (XAI) techniques. . Demonstrated experience with Open Neural Net Exchange (ONNX). Location: On Company Site US Citizenship Required… more
- Intuit (Mountain View, CA)
- …statistical modeling techniques: clustering, classification, regression, decision trees, neural nets, SVMs, and anomaly detection. + **Communication:** ... Time Series Forecasting:** **Expertise in applied forecasting (ARIMA, Prophet, Neural methods) with an ability to handle sparsity, hierarchical constraints,… more
- Amazon (Seattle, WA)
- …programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning About the team Diverse Experiences ... programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications - Experience with… more
- Amazon (Sunnyvale, CA)
- …responsibilities * Develop high-performance inference software for a diverse set of neural models, typically in C/C+* Design, prototype, and evaluate new inference ... proprietary ASICs) * Collaborate closely with research scientists to bring next-generation neural models to life * Partner with internal and external hardware teams… more
- quadric.io, Inc (Burlingame, CA)
- …driven AI inference processor. Licensed as IP, the architecture is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint ... smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other neural engines in the industry today that can only accelerate a… more
- SUNY Upstate Medical University (Syracuse, NY)
- …encompasses a range of activities, from developing novel computational models to analyzing neural patterns associated with vision. The goal is to abstract complex ... neural data into a framework that can both predict and recreate visual experiences. This research has broad implications, from enhancing our understanding of the… more
- Gilead Sciences, Inc. (Foster City, CA)
- …working knowledge of machine learning algorithms, including regression, clustering, neural networks, Bayesian models, RNN, CNN, Tree-based algorithms (RF, XGB, ... data science techniques such ANCOVA, Bayesian Statistics, Econometric modeling, Neural Networks/Logistic, etc. . Understanding of cloud-based technologies and tools… more
- NVIDIA (Santa Clara, CA)
- …to build the next generation of AI for graphics and gaming-from neural rendering and real-time image/video generation to world models, AI-driven characters, and ... graphics-such as rendering pipelines or game engines-and experience with generative models, neural rendering, or reconstruction is a plus. + Proven track record of… more
- Google (Mountain View, CA)
- …and optimization problems in collaboration with human experts. + Leverage neural /foundation modeling techniques to build models of and generative optimization ... algorithms for a wide range of real-world modeling tasks + Translate your expertise in neural modeling to the rest of the team and apply it to solve real-world… more
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