Neural Networks Jobs in California (NOW HIRING)

The focus involves the optimization of various common neural networks for optimal performance on architectures, facilitated by the software optimization tool flow. We are seeking software developers ...

The focus involves the optimization of various common neural networks for optimal performance on architectures, facilitated by the software optimization tool flow. We are seeking software developers ...

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 ...

This multidisciplinary role bridges theoretical research and high-performance software engineering, requiring hands-on expertise in image processing, computer vision, convolutional neural networks ...

This multidisciplinary role bridges theoretical research and high-performance software engineering, requiring hands-on expertise in image processing, computer vision, convolutional neural networks ...

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 ...

We aim to create a solid foundation for mechanistically understanding neural networks and making them safe (see our vision post ). In the short term, we have focused on resolving the issue of ...

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 ...

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 ...

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 ...

This role involves designing, training, and evaluating deep neural networks and large language models (LLMs); prototyping quickly; turning promising ideas into reliable systems; collaborating with ...

Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages drawbacks. Knowledge of advanced ...

Support project team in building data pipelines for training deep neural networks. * Benchmarking and reporting of various neural network models performance. * Research into suitable new network ...

Machine Learning, training neural networks to automate various tasks using humanoid robots; * Coding and Software Engineering, training neural networks; * Writing Python programming; * GPU ...

Description Design and train deep neural networks for video, image, audio, and audio-visual tasks. Build models for audio-visual representation learning, cross-modal alignment, and fusion. Develop ...

Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks using "microscopes" we build, or as treating neural networks as binary computer programs ...

... DL/neural networks or ML. • Especially how CNN, RNN work. • Details on How Transformers work. • What are the various components in neural network design? • And all optimization algorithms ...