- Waystar (Atlanta, GA)
- …Demonstrated expertise in advanced machine learning algorithms, including XGBoost, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and ... Transformer architectures. + Deep familiarity with natural language processing (NLP) approaches, including concept extraction, human language understanding, and summarization-particularly in clinical and healthcare contexts. + Working knowledge of Python,… more
- NVIDIA (Santa Clara, CA)
- …language processing. Our team crafted Jasper, QuartzNet, CitriNet and other innovative neural models for ASR and text-to-speech. We also developed algorithms to ... Develop new Deep Learning models for automatic speech recognition, speech synthesis, neural machine translation and natural language + Design new large scale… more
- Meta (Menlo Park, CA)
- …elements 10. 1+ years experience in using machine learning and deep neural networks for simulating or optimizing optical devices in distributed systems and ... computing infrastructure 13. 2+ years experience in using machine learning or deep neural networks for novel nano-optics design 14. 2+ years experience on training… more
- Amazon (Sunnyvale, CA)
- …will you do? * Analyze deep learning workloads and map them to Amazon's Neural Edge Engine * Propose and implement new hardware architectures or improvements to our ... programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications - Experience with… more
- Johns Hopkins University (Baltimore, MD)
- …methods, classical molecular simulations, and cutting-edge AI techniques including graph neural networks (GNNs) and large language models (LLMs) to accelerate ... following: Density Functional Theory (DFT), machine-learned force fields (MLFF), graph neural networks (GNNs), or large language models (LLMs). Extensive Knowledge… more
- Argonne National Laboratory (Lemont, IL)
- …will develop and apply novel machine learning models-including Physics-Informed Neural Networks (PINNs), variational autoencoders, and geometric deep learning-to ... and Experience** **:** + Experience with scientific AI techniques like Physics-Informed Neural Networks (PINNs) and geometric deep learning. + Experience with active… more
- Amazon (Seattle, WA)
- …operations. The AWS Neuron team works to optimize the performance of complex neural net models on our custom-built AWS hardware. More specifically, the AWS Neuron ... team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and Jax, and converts… more
- Meta (Redmond, WA)
- …graphics hardware, rendering algorithms for AR/VR, such as ray casting and neural rendering, perceptual aware rendering, neural compression, and generative AI ... for 3D graphics.This internship role is for investigation of techniques to make high-quality graphics possible on devices with orders of magnitude less compute and memory than typical mobile GPUs have today. Partner with expert research scientists and… more
- GE Vernova (Niskayuna, NY)
- …Time-series or Multi-Modal Foundation Models, Scientific Machine Learning with Physics, Graph Neural Networks. + Legal authorization to work in the US is required. ... with image, tabular data, and text, Integrating Physics in Machine Learning, Graph Neural Networks for Energy Systems, and Integrating LLM with knowledge graphs. +… more
- University of Colorado (Aurora, CO)
- …and closed-loop strategies.Ideal candidates have an interest in investigating the neural mechanisms of cognitive, affective, or decision processes in humans through ... in Aurora, CO. Ideal candidates have an interest in investigating the neural mechanisms of cognitive, affective, or decision processes in humans through carefully… more