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ML Systems Engineer, Tokenization & Research Tools
ML Systems Engineer, Tokenization & Research Tools
A pioneering AI research organization is looking for a Machine Learning Systems Engineer to develop and optimize tokenization systems for AI model training. This role requires strong software engineering and machine learning expertise, alongside proficiency in Python, and involves collaboration with researchers in a hybrid work environment.
About the role
A pioneering AI research organization in San Francisco is seeking a Machine Learning Systems Engineer to develop vital tokenization systems for AI model training. The role involves optimizing workflows, collaborating with researchers, and requires strong software engineering and machine learning expertise. A Bachelor's degree and proficiency in Python are essential. The compensation ranges from $320,000 to $405,000 annually, with a hybrid work model expected.
Skills
Software EngineeringMachine LearningPython