Neural Networks Jobs (NOW HIRING)

Learn about and develop new cognitive, automated processes that incorporate machine learning, geo-analytics, natural language processing, image recognition, convolutional neural networks, deep ...

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 ...

Builds software pipelines that adapt neural networks (such as Hugging Face, Ultralytics, or custom models) for deployment on Mythic's hardware. * Develops advanced quantization-aware and analog-aware ...

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 ...

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 ...

A working knowledge of Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) * Experience in applying core Machine Learning methodologies:

Builds software pipelines that adapt neural networks (such as Hugging Face, Ultralytics, or custom models) for deployment on Mythic's hardware. * Develops advanced quantization-aware and analog-aware ...

The role involves designing and evaluating deep neural networks and LLMs, collaborating with engineering and design, and writing clear documentation and reports. Responsibilities : • Design, train ...

Builds software pipelines that adapt neural networks (such as Hugging Face, Ultralytics, or custom models) for deployment on Mythic's hardware. * Develops advanced quantization-aware and analog-aware ...

... Neural Networks, Physics-Informed Neural Networks, Neural Operators, and Transformer architectures • Experience working with messy, high-dimensional data. Company : AI-powered physics models that ...

Work with model developers to tune their neural networks for better inference efficiency and accuracy You have: * BS degree in Computer Science/Electrical Engineering or equivalent experience and 5+ ...

We study how biological neural networks process information, extract useful computational principles and translate those insights into software that makes modern AI models better, faster and more ...

We study how biological neural networks process information, extract useful computational principles and translate those insights into software that makes modern AI models better, faster and more ...

Train neural networks for detection and classification: YOLO for object detection, ResNet-based classifiers for threat discrimination, learned appearance features for re-identification * Build hybrid ...

Formulate research questions to guide the development of neural networks and signal processing algorithms that will restore vision to those affected by blindness. * Utilize your fundamental ...

Should be proficient with Artificial Neural Networks, Random forest. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and ...

We study how biological neural networks process information, extract useful computational principles and translate those insights into software that makes modern AI models better, faster and more ...

Train neural networks for detection and classification: YOLO for object detection, ResNet-based classifiers for threat discrimination, learned appearance features for re-identification * Build hybrid ...

... Neural networks, Random Forest and XGBoost-in various business problems (AML, fraud detection, mortgage default, foreclosure, credit risk management, price prediction and optimization) • Strong ...

They will be responsible for developing graph neural networks (GNNs), advancing PDE emulation methods, publishing high-impact research, and utilizing high-performance computing resources. Review of ...