Data-Efficient ML Researcher: Synthesis & Generalization
$150k - $300kAstera Institute
A pioneering research organization is seeking a Machine Learning Researcher to enhance data-efficient model induction methods. This role involves hypothesizing improvements for generalization performance and contributing to a robust code base. Candidates should hold a relevant Master's degree and demonstrate proficiency in Pytorch alongside experience in collaborative research. The position is hybrid, based in California with a salary ranging from $150K to $300K depending on experience. #J-18808-Ljbffr Astera Institute
Vacancy posted 1 day ago
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