- 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. ... fundamental questions in neuroscience - questions such as, "How do neural stem cells choose between self-renewal and differentiation?" "What mechanisms generate… 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 ... to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a… 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 ... to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a… 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 ... to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a… 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 ... to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a… more
- Qualcomm (San Diego, CA)
- …and integration. + Integrate and optimize large language models (LLMs) and neural network architectures into production-ready software. + Collaborate with ... (LLMs), their mechanics, and their real-world applications. + Familiarity with neural network architectures and how they power modern AI systems. + Experience… more
- Qualcomm (San Diego, CA)
- …**Additional skills in the following areas are preferred:** + Hands-on experience running neural network models with Deep Learning frameworks such as SNPE, ... working on any IE-IOT applications. + Experience and understanding of a variety Neural Network (NN) architectures including convolution neural networks,… 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 ... to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a… more
- Qualcomm (San Diego, CA)
- …and metrics + Integrate and optimize large language models (LLMs) and neural network architectures into production-ready software. + Collaborate with ... of evaluation methodologies for fine-tuned language models + Familiarity with neural network architectures and how they power modern AI systems * Experience… 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 ... to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a… 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 ... to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a… 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 ... to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a… more
- Unlimit Ventures (San Diego, CA)
- …+ Deep learning expertise (knowledge of designing and implementing multiple neural network architectures, experience with transfer learning techniques, ... SciPy, etc.). + Understanding of a wide range of ML algorithms (SVMs, neural networks, clustering algorithms, etc.) and ensemble methods. + Experience with selecting… more
- Duolingo (Pittsburgh, PA)
- …and innovative work environment. + Contribute to the development and fine-tuning of large-scale neural network models, with a focus on agentic AI. + Collaborate ... research engineer, with extensive experience in developing, training, and fine-tuning large neural networks. On the security team, we're building AI systems to help… more
- General Motors (Mountain View, CA)
- …scalability, robustness, and safety-critical operation. + Champion innovation in neural network architectures, training methodologies, and inference optimization ... We leverage modern end-to-end machine learning approaches with sophisticated neural networks trained from large-scale driving data and using state-of-the-art… more
- Qualcomm (San Diego, CA)
- …solving skills + Experience with LLM, LVM, LMM models, and other neural network architectures. + Excellent interpersonal, written, and oral communications ... first-in-the-world research and proof-of-concepts in areas such model efficiency, neural video codecs, generative ai, video semantic segmentation, federated… more
- General Motors (Mountain View, CA)
- …scalability, robustness, and safety-critical operation. + Champion innovation in neural network architectures, training methodologies, and inference optimization ... We leverage modern end-to-end machine learning approaches with sophisticated neural networks trained from large-scale driving data and using state-of-the-art… more
- Stony Brook University (Stony Brook, NY)
- …AI systems * Design, analysis, and modeling of AI hardware such as deep neural network accelerators or neuromorphic computing * Emerging AI/ML models and ... * Design, analysis, and modeling of AI hardware such as deep neural network accelerators or neuromorphic computing * Emerging AI/ML models and hardware/software… more
- Amazon (New York, NY)
- …team! As part of this dynamic team, you will create and implement novel neural network architectures to develop the next generation of foundation time series ... evaluate, and debug the latest deep learning models. You will design novel neural network architectures, brainstorming with fellow scientists and engineers on… more
- Zoom (Seattle, WA)
- …cloud computing + Have experience building large-scale distributed systems and optimizing neural network performance + Demonstrate programming skills in Python, ... learning frameworks (PyTorch, Transformers) + Have a deep understanding of neural network architectures and training methodologies Salary Range or On Target… more