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systems are deployed through repeatable, automated processes. Observability, cost control, security, and graceful degradation are design inputs from the start, not items addressed at the end. Cloud-agnostic
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high performance compute environments (cloud-based and slurm/lsf clusters) and model deployment platforms (e.g., Kubernetes, AWS SageMaker, Google Vertex AI, HF Inference). Experience with distributed
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institutions. What you bring: Master's or PhD in Computer Science, Applied Mathematics, Physics, Computational Chemistry, or a related field, or equivalent combination of education and experience. 3+ years
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to several pounds (such as a laptop computer or tablet). Persons with disabilities may be able to perform the essential duties of this position with reasonable accommodation. Requests for reasonable
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manage the program that monitors how HHMI and its programs show up across traditional search and AI platforms. Analyze the findings to spot patterns, opportunities, and risks, and flag shifts that change
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with others and independently; and awareness of and ability to follow safety procedures and maintain a safe work environment. Preferred: experience with molecular cloning; basic computational skills