Research Engineer, AI for Science
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The role
Design, implement, and optimize large-scale distributed machine learning systems to enable ambitious scientific applications.
Write robust, high-quality ML code and contribute to performance-critical components used at scale.
Collaborate closely with researchers to translate ideas into scalable, production-ready systems.
Deliver reliable software through rigorous engineering practices, testing, and reproducibility.
Tackle challenges in optimization, data pipelines, and deployment across cloud and on-prem environments.
Join a hybrid work environment in San Francisco, with relocation support and interdisciplinary collaboration.
Write robust, high-quality ML code and contribute to performance-critical components used at scale.
Collaborate closely with researchers to translate ideas into scalable, production-ready systems.
Deliver reliable software through rigorous engineering practices, testing, and reproducibility.
Tackle challenges in optimization, data pipelines, and deployment across cloud and on-prem environments.
Join a hybrid work environment in San Francisco, with relocation support and interdisciplinary collaboration.
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