Machine Learning Scientist, Foundation Models for Drug Discovery
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仕事内容
Design, implement, and scale large-scale distributed machine learning systems with robust, production-ready code.
Develop strategies to improve real-world reasoning and long-horizon task performance on scientific challenges.
Translate biological and chemical domain knowledge into concrete ML objectives, training signals, and evaluation criteria.
Design and implement evaluation methodologies with domain experts to benchmark capabilities for biological research.
Collaborate with researchers to translate ideas and prototypes into scalable, production-ready systems.
Bring a strong ML background, publications, and software engineering skills to advance AI for drug discovery.
Develop strategies to improve real-world reasoning and long-horizon task performance on scientific challenges.
Translate biological and chemical domain knowledge into concrete ML objectives, training signals, and evaluation criteria.
Design and implement evaluation methodologies with domain experts to benchmark capabilities for biological research.
Collaborate with researchers to translate ideas and prototypes into scalable, production-ready systems.
Bring a strong ML background, publications, and software engineering skills to advance AI for drug discovery.
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