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Join a team to engineer high-efficiency deep learning architectures for molecular machine learning, focusing on optimization and scaling across GPUs for drug discovery.

Design probabilistic generative models for molecular systems, focusing on drug discovery through advanced machine learning and sampling techniques while collaborating with interdisciplinary teams.

The ML Research Engineer will develop training pipelines for atomistic simulation models and collaborate with researchers to optimize training workflows.

You will design and optimize distributed compute infrastructure for ML applications, improve resource utilization, and collaborate with ML engineers on large-scale workloads.