- 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
- 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
- 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
- LinkedIn (Sunnyvale, CA)
- …large scale AI models and systems Experience in large language models and deep neural network solutions Demonstrated ability to work with peers in engineering ... LinkedIn is the world's largest professional network , built to help members of all backgrounds...direction, unblock massive scale projects with your expertise in neural networks and machine learning at the same time… 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
- Walmart (Bentonville, AR)
- …qualifications ** + Deep understanding of optimization theory, the inner working of neural network , attention architecture + Proven track record of solving large ... build large scale chat applications + Train large scale neural networks and deploy them as a automated batch...scale business problems using neural networks utilizing distributed + Demonstrate ability of research… more
- Walmart (Bentonville, AR)
- …GPU farm + Deep understanding of optimization theory, the inner working of neural network , attention architecture + Proven records of solving business problems ... statistical and deep learning methods + Train large scale neural networks and deploy them as a automated batch...using transformer based neural networks + Familiar with common DL packages such… 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
- 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
- Meta (Little Rock, AR)
- …machine learning systems, resource-efficient AI data and algorithm scaling and neural network architectures, memory and energy-efficient AI systems, ... scalable machine learning systems, resource-efficient AI data and algorithm scaling, or neural network architectures. 21. Experience solving complex problems and… more
- Meta (Menlo Park, CA)
- …and experiences. 3. Develop algorithms based on state-of-the-art machine learning and neural network methodologies. 4. Conduct research that enables learning the ... impact. 8. Develop algorithms based on state-of-the-art machine learning and neural network methodologies. 9. Mentor other AI Engineers and improve the quality… more
- Meta (Boston, MA)
- …machine learning systems, resource-efficient AI data and algorithm scaling and neural network architectures, memory and energy-efficient AI systems, ... scalable machine learning systems, resource-efficient AI data and algorithm scaling, or neural network architectures. 14. Experience solving complex problems and… 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