Research Scientist - Machine Learning
ExtropicThermodynamic Computing company
San Francisco, United StatesSenior
Valor Equity Partners
Kindred Ventures
HOF Capital
Julian Capital
Marque VC
OSS Capital
Data & AI
About the role
TL;DR
Develop probabilistic machine learning theory and implement scalable models.
- •Extropic is seeking a senior research scientist to work on probabilistic machine learning theory and its applications.
- •Key Responsibilities Collaborate with senior researchers to derive the theory of new probabilistic models Scale up experimentation infrastructure and optimize model design Implement, visualize, and evaluate new architectures and training algorithms Publish papers and contribute to open source Create production models for domain experts Requirements Experience in scientific Python and at least one deep learning framework Strong foundations in probability and linear algebra Familiarity with deep learning theory and literature Publications in top ML conferences Experience training high-performance models and deploying models
Required skills
PythonPyTorchTensorFlowAWSONNX
Nice-to-have skills
JAXKeras
Domain expertise
ai
Tech stack
PythonPyTorchJAXTensorFlowKerasAWSONNX
