- Google (Seattle, WA)
- …+ Experience with Video Processing, 3D Reconstruction, Image Segmentation. + Experience with Neural Radiance Fields, Neural Networks , Neural Renderings. ... to improve quality and performance of reconstruction and rendering pipelines using neural networks , the latest generative AI approaches, and large-scale data… 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
- Meta (New York, NY)
- … Neural Interfaces, ML (PhD) Responsibilities: 1. Research and development of neural networks , machine learning or other computational models by leveraging ... EMG signals and other relevant data. 2. Design methods, tools and infrastructure to analyze and leverage rich multimodal data sets. 3. Help transition and deliver our work from research into product. 4. Adapt standard machine learning methods to best leverage… more
- Palo Alto Networks (Santa Clara, CA)
- …of advancements in machine learning, particularly in LLMs, LLM agents, and large-scale neural networks . + Parallel Training Techniques: Utilize data and model ... **Our Mission** At Palo Alto Networks (R) everything starts and ends with our mission:...- just to name a few! At Palo Alto Networks , we believe in the power of collaboration and… more
- Qualcomm (San Diego, CA)
- …complex data challenges. + In-Depth understanding of Machine learning fundamentals, including Neural Networks , convolutional neural networks (CNNs), ... with wireless Operators to investigate and characterize the performance of 5G/5G-Adv/LTE networks in various aspects ranging from core network , air interface,… more
- Stanford University (Stanford, CA)
- …and implement scalable pipelines for mechanistic interpretability analyses of large neural networks * Develop and automate feature visualization techniques ... in industry. * Access to unique datasets spanning artificial and biological neural networks * State-of-the-art computing infrastructure * Competitive salary 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
- Qualcomm (San Diego, CA)
- …scalable applications, leveraging your expertise in AI, large language models (LLMs), neural networks , and databases. This role requires a strong background ... + Integrate and optimize large language models (LLMs) and neural network architectures into production-ready software. +...Stay informed on the latest trends in AI, LLMs, neural networks , and related technologies to drive… 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 ... 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
- Qualcomm (San Diego, CA)
- …and metrics + Integrate and optimize large language models (LLMs) and neural network architectures into production-ready software. + Collaborate with ... Stay informed on the latest trends in AI, LLMs, neural networks , and related technologies to drive...evaluation methodologies for fine-tuned language models + Familiarity with neural network architectures and how they power… 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
- Broadcom (Portsmouth, NH)
- …Clustering (k-means, hierarchical), dimensionality reduction (PCA, t-SNE). + **Deep Learning:** Neural networks , convolutional neural networks ... Data Scientist/Engineer practitioner to work on designing and developing a network operations AI assistant expert system using generative AI, traditional Machine… 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 ... entities. Unblock massive scale projects with your expertise in neural networks and machine learning Enhance the...and systems Experience in large language models and deep neural network solutions Demonstrated ability to work… more
- Walmart (Bentonville, AR)
- …LLMS to summarize and build large scale chat applications + Train large scale neural networks and deploy them as a automated batch pipelines using airflow. ... Deep understanding of optimization theory, the inner working of neural network , attention architecture + Proven track...track record of solving large scale business problems using neural networks utilizing distributed + Demonstrate ability… more
- Walmart (Bentonville, AR)
- …LLM tuning, using sound statistical and deep learning methods + Train large scale neural networks and deploy them as a automated batch pipelines using airflow. ... Deep understanding of optimization theory, the inner working of neural network , attention architecture + Proven records...Proven records of solving business problems using transformer based neural networks + Familiar with common DL… more
- Unlimit Ventures (San Diego, CA)
- …SciPy, etc.). + Understanding of a wide range of ML algorithms (SVMs, neural networks , clustering algorithms, etc.) and ensemble methods. + Experience with ... + Deep learning expertise (knowledge of designing and implementing multiple neural network architectures, experience with transfer learning techniques,… more