- Texas Instruments (Dallas, TX)
- …execution of neural networks This role is focused on the neural network hardware portion of our team's activities. About the organization: Kilby Labs, ... in shaping it.** We're looking for an expert in neural network (MLP, RNN, CNN, transformer) hardware...+ A variety of internal and external applications of neural networks + Ultra high accuracy and… more
- Meta (Sausalito, CA)
- …and machine learning 12. Experience with image-to-image transformation, transformers, recurrent neural networks , VAEs, GANs, rendering techniques and real-time ... Topics:* 3D human digitization* Facial capture* Virtual telepresence* Deep learning* Neural shading models* Neural and differentiable rendering* Coordinate-based… more
- New York University (Brooklyn, NY)
- …position at the Assistant, Associate, or Full Professor level with a focus on Neural Engineering . This search is part of the Health Engineering cluster hire at ... mechanobiology, robotics and prosthetics for rehabilitation, synthetic and systems engineering, neural engineering, and a wide variety of other applications. A more… more
- Pennsylvania State University (Hershey, PA)
- …. JOB DESCRIPTION AND POSITION REQUIREMENTS: The Department of Neural and Behavioral Sciences, Yongsoo Kim lab at Penn State ... mapping of brain cell types including GABAergic neurons, glia, and cerebrovascular network , 2) anatomical and functional investigation of the oxytocin system in the… more
- Skyworks (Hillsboro, OR)
- …will share responsibility for some of the following tasks: + Development of neural networks + Analyze neural network efficiency and performance + Port to ... and test neural networks on microprocessors and other constrained devices + Develop neural network based real-time audio algorithms that are memory and… more
- University of Oregon (Eugene, OR)
- …models of brain function grounded in a combination of theoretical approaches, neural network -based simulations, and statistical analysis of experimental data. ... questions in neuroscience - questions such as, "How do neural stem cells choose between self-renewal and differentiation?" "What...Drosophila, C. elegans, and zebrafish to the more complex networks in mice, owls, and humans. ION boasts a… more
- University of Colorado (Aurora, CO)
- …in the study of the developmental mechanisms underlying the wiring of prefrontal cortex networks (see Comer et al., 2020 Plos Biology and Johnson et al., 2022). In ... in vivo calcium imaging using 3D-printed miniature microscopes to record neural activity in freely moving rodents, spatial transcriptomics, generation of genetic… more
- quadric.io, Inc (Burlingame, CA)
- …unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge ... automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today...team, you will be tasked with lowering and optimizing neural networks on the quadric EPU. You… more
- Princeton Plasma Physics Laboratory (Princeton, NJ)
- …scientific data and improve computational research methods. + Create and maintain neural networks using proven technologies or develop new methods tailored ... + Apply AI/ML techniques to optimize computational research, including the integration of neural networks or custom-built models into the research workflow. +… more
- quadric.io, Inc (Burlingame, CA)
- …unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge ... systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only… more
- quadric.io, Inc (Burlingame, CA)
- …unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge ... automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today...+ Contribute to the development of cutting edge deep neural networks , computer vision and DSP algorithms… more
- Banco Popular Puerto Rico (Charlotte, NC)
- …causal inference. + Experience with Experiment Design, Natural Language Processing, Neural Network architectures, Recommendation Systems, and Large Language ... in machine learning techniques and deep learning algorithms such as Convolutional Neural Networks (CNNs), Long Short-Term Memory Networks (LSTMs), Recurrent … more
- Argonne National Laboratory (Lemont, IL)
- …modeling, and regularization techniques + Experience with various neural network architectures (eg, graph neural networks , autoencoders, generative ... or a related field + Knowledge of key approaches for embedding physics in AI/ML models, especially neural operators, physics-informed neural networks , hybrid… more
- Qualcomm (San Diego, CA)
- …researchers and software developers, collaborate with internal teams, work with popular neural network frameworks, and understand the architecture of Qualcomm's ... of December 2025 or later **Preferred Qualifications** + Proficiency in deep neural networks , machine learning algorithms, and architectures, including CNNs,… more
- quadric.io, Inc (Burlingame, CA)
- …unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge ... automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today...skills across the hardware-software stack - running and debugging Neural Networks in HW and SW development… more
- J&J Family of Companies (Columbus, OH)
- …self-supervised, and weakly supervised learning and specific architectures (Convolutional Neural Networks (CNNs), Vision Transformers (ViTs), Recurrent ... Neural Networks (RNNs), Generative Adversarial Networks (GANs), and attention-based networks ) + Strong understanding and experience with machine learning… more
- Meta (Pittsburgh, PA)
- …neural rendering, relighting, computer vision, and graphics 2. Developing efficient deep neural network models for 3D content generation and tracking 3. ... in using machine learning for solving computer vision and graphics problems (eg, neural rendering, view synthesis, generative models for images and videos) as well… more
- NVIDIA (Santa Clara, CA)
- …least 3+ years of relevant work experience + Experience with neural network pruning and sparsity, training networks for various tasks, exploring model ... DL researchers and/or computer architects to help future accelerators and neural networks take advantage of sparsity. This is an applied research position,… more
- LinkedIn (Sunnyvale, CA)
- …be driving LinkedIn's AI direction, unblock massive scale projects with your expertise in neural networks and machine learning at the same time interact with ... LinkedIn's diverse marketplace entities.Unblock massive scale projects with your expertise in neural networks and machine learningEnhance the AI system's ability… more
- Qualcomm (San Diego, CA)
- …Research experience in the development of efficient networks , various Neural Architecture Search (NAS) techniques, network quantization, and pruning is ... with torch.fx. Adept at version control system like GIT. + Experience in neural network quantization, compression, pruning algorithms. + Experience in deep… more