Neural Networks Jobs (NOW HIRING)

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

... neural networks (RNN)

Development of advanced machine learning approaches including graph neural networks, symbolic regression, mechanistic models, and statistical learning methods * Mathematical frameworks connecting ...

Python, Algorithms, Optimisation, NLP, Data Mining, Statistical Analysis, Neural Networks, Generalised Linear Regression, Multiclass Classification, Java, R - Advanced knowledge of Python using ...

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

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

... neural networks Apply unsupervised machine learning techniques such as PCA kmeans and SVMs to analyse and interpret data Collaborate with crossfunctional teams to understand business requirements and ...

Responsibilities : • 10 to 15 years of experience with PhD or MS. • Hands on experience on machine learning algorithms (Neural Networks, Support Vector Machines, Random Forest, logistic ...

... of neural networks, architectures, and optimization techniques • Sound knowledge of ANN, LSTM, Encoder models, Transformers and Bert • Proficiency in programming languages such as Python, along ...

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 ...

Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Transformer-based architectures, Large Language Models (LLMs), Object Detection models (e.g., YOLO, Faster R-CNN) • Hands-on ...

... neural networks into our scanning system • Enhance deep neural networks and their related preprocessing and postprocessing code to ensure efficient execution on an embedded device Qualifications

You will explore vast amounts of market and alternative data, inventing and applying a new generation of state-of-the-art technologies that are inspired by large language models, deep neural networks ...

... neural networks • Experience in writing high performance software for multicore systems • Experience with C++, Python • Strong skills in analyzing performance of software/hardware solutions on ...

You will explore vast amounts of market and alternative data, inventing and applying a new generation of state-of-the-art technologies that are inspired by large language models, deep neural networks ...

You will explore vast amounts of market and alternative data, inventing and applying a new generation of state-of-the-art technologies that are inspired by large language models, deep neural networks ...

Leverage machine learning and AI solutions-such as surrogate modeling and physics-informed neural networks-to accelerate simulations, enhance efficiency, drive novel improvements, increase part yield ...

Neural networks + tree-based models * Optimization exposure (even classical methods) * Comfortable partnering with engineers Practical, applied mindset * Some AI agent exposure (Databricks flavor is ...

Leverage machine learning and AI solutions-such as surrogate modeling and physics-informed neural networks-to accelerate simulations, enhance efficiency, drive novel improvements, increase part yield ...

Strong knowledge of machine learning algorithms (e.g., linear regression, SVM, decision trees, neural networks, clustering, etc.) and best practices * Experience with machine learning algorithms and ...