Neural Networks Jobs (NOW HIRING)

Develops normative models of adaptive computations in biological neural networks and test these models on neural data collected by experimental collaborators. * Plans, directs, and conducts an ...

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 ...

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 ...

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 ...

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 ...

... and neural networks). • Experience in Estimation and Proposal creation • Experience in Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector ...

They are seeking a Research Associate to contribute to an interdisciplinary project focused on developing mathematical and machine learning tools for bone age classification using neural networks.

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

Develops normative models of adaptive computations in biological neural networks and test these models on neural data collected by experimental collaborators. * Plans, directs, and conducts an ...

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 ...

Experience with optimizing neural networks to perform well on low-power mobile platforms (e.g. pruning, distillation, quantization)

Research on various neural networks for the interpretation of camera images (object detection, panoptic segmentation) and trajectory/motion planning. * Fusion of different neural networks to use ...

... Neural Networks,..) • Developing AI and ML models in real-world environments and integrating AI and ML using cloud-native or hybrid technologies into large-scale enterprise applications.

Experience with optimizing neural networks to perform well on low-power mobile platforms (e.g. pruning, distillation, quantization)

Experience with optimizing neural networks to perform well on low-power mobile platforms (e.g. pruning, distillation, quantization). Education:Bachelor LevelEmployment Type: FULL_TIME

Neural networks * Natural Language Processing, NLP * Python * R * SQL * TensorFlow, Keras, and/or PyTorch * Microsoft Azure cloud platform * DevOps and/or MLOps practices * Model development ...

Deep Neural Networks (DNN): * Hands-on experience with CNN, RNN, Graph Neural Networks, and transformers. * Proficiency in hyperparameter optimization, autoencoders, model evaluation, and error ...

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 ...