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us: Machine Learning Research Engineer, Federal

             
Apr
14
Scale AI, Inc.; United States
Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers; Take models currently in production, identify areas for improvement, improve them using retraining and hyperparameter searches, then deploy without regres...      Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization; Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment; Experience with generative AI models

us: Manager, Machine Learning Research Engineer, Generative AI

             
Apr
13
Scale AI, Inc.; San Francisco, California, United States
Manage a team of highly effective researchers and engineers. Provide guidance, mentorship, and technical leadership to a team of researchers and engineers working on Generative AI projects. Develop and evaluate methods for integrating machine learning into human-in-the-loop labeling systems to ensur...      Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization; 7+ years of full time work experience using LLM, deep learning, deep reinforcement learning, or natural language processing in a production environment. Especially training foundational AI models through...

us: Senior/Staff Machine Learning Research Scientist Generative AI

             
Apr
12
Scale AI, Inc.; United States
Publish new methods that advance frontier models/LLMs via human in the loop; Release papers, datasets, and open source code that improve state of the art open source models; Evaluate, adapt, and develop new state of the art language and/or multimodal foundation models      A PhD in AI, Machine Learning, Computer Science, or related field; A track record of high-caliber publications in peer-reviewed machine learning venues (e.g. NeurIPS, ICLR, ICML, EMNLP, CVPR, AAAI etc.); Interest in capability and alignment research; At least 3 to 5 years of model training and evalu...
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