Description The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong deep learning background, to lead the development of industry-leading technology with...
The Team: We are looking for a Lead AI Scientist to join our Data team in New York City, NY. Your role will include a combination of developing models and tools to be deployed into production systems and defining...
Note: We have a preference for candidates that are able to work out of NYC or SF for this role! About Patronus AI Patronus AI's mission is to provide the security and risk management layer for AI. We are...
Description Amazon Web Services is looking for world class scientists to join the Security Analytics and AI Research team within AWS Security Services. This group is entrusted with researching and developing core data mining and machine...
EvolutionaryScale's mission is to develop artificial intelligence to understand biology for the benefit of human health and society, through open, safe, and responsible research, and in partnership with the scientific community. Over the next ten...
Overview At Garnet Health, the Hudson Valley's leading integrated health system, you'll find the perfect balance of a satisfying career and a rewarding lifestyle. Our focus is on patient-centric care with a collective of...
W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed. Candidates are encouraged to apply directly using this portal. We do not accept resumes from other...
Note: We have a preference for candidates that are able to work out of NYC or SF for this role! About Patronus AI Patronus AI's mission is to provide the security and risk management layer for AI. We are...
Key Responsibilities: Develop and design full-stack solutions for Machine Learning and Generative AI workflows, integrating both frontend and backend elements to create scalable and high-performance systems.Drive...
Responsibilities Design, build, and train highly scalable custom models and evaluate model performance. Adapt standard machine learning methods to apply to our use cases and to best exploit modern parallel environments (e.g.