Neural Network Jobs in Massachusetts (NOW HIRING)

The Graph Neural Network (GNN) Influenza Modeling Intern will support the development and evaluation of machine learning models to improve seasonal influenza forecasting. The intern will analyze ...

Integrate neural network potentials into traditional QM/MD workflows with the ML team Essential experience * PhD in computational chemistry, chemical physics, materials science, or related field ...

Train large models across three threads: enzyme-substrate prediction, neural network potentials, and inverse design of reaction networks * Own models end to end - architecture, data pipelines ...

Integrate neural network potentials into traditional QM/MD workflows with the ML team Essential experience * PhD in computational chemistry, chemical physics, materials science, or related field - or ...

Train large models across three threads: enzyme-substrate prediction, neural network potentials, and inverse design of reaction networks * Own models end to end - architecture, data pipelines ...

You are comfortable discussing GPU architectures, solver convergence, and neural network latencies with PhD-level researchers. * Future-Oriented: You believe that the future of engineering is AI ...

Skilled at breaking down neural network architectures, training optimization, and model evaluation techniques. Guides students through implementing classification and regression models, designing ...

Skilled at breaking down neural network architectures, training optimization, and model evaluation techniques. Guides students through implementing classification and regression models, designing ...

Skilled at breaking down neural network architectures, training optimization, and model evaluation techniques. Guides students through implementing classification and regression models, designing ...

Skilled at breaking down neural network architectures, training optimization, and model evaluation techniques. Guides students through implementing classification and regression models, designing ...

Skilled at breaking down neural network architectures, training optimization, and model evaluation techniques. Guides students through implementing classification and regression models, designing ...

Skilled at breaking down neural network architectures, training optimization, and model evaluation techniques. Guides students through implementing classification and regression models, designing ...

Skilled at breaking down neural network architectures, training optimization, and model evaluation techniques. Guides students through implementing classification and regression models, designing ...

Key Responsibilities · Design and execute experiments to characterize single-cell and network ... systems, neural probes) o Calcium and voltage-sensitive dye imaging for large-scale population ...

Skilled at breaking down neural network architectures, training optimization, and model evaluation techniques. Guides students through implementing classification and regression models, designing ...

Key Responsibilities • Design and execute experiments to characterize single-cell and network ... systems, neural probes) o Calcium and voltage-sensitive dye imaging for large-scale population ...

Skilled at breaking down neural network architectures, training optimization, and model evaluation techniques. Guides students through implementing classification and regression models, designing ...

Skilled at breaking down neural network architectures, training optimization, and model evaluation techniques. Guides students through implementing classification and regression models, designing ...

Key Responsibilities · Design and execute experiments to characterize single-cell and network ... systems, neural probes) o Calcium and voltage-sensitive dye imaging for large-scale population ...

Ability to explain linear regression, decision trees, random forests, support vector machines, and neural network architectures while preparing students for data science roles and advanced AI ...