3 days ago
🏢 In-office - Bay Area
• Conduct original research in the area of generative multimodal modeling, large language models (LLMs), diffusion models, probabilistic reasoning and causality/causal representation learning as it applies to fundamental problems in AI for advancing the sciences. • Build, train, and evaluate multimodal foundation models utilizing CZI’s 1000xH100 GPU compute cluster and distributed training infrastructure. • Work with a diverse range of multimodal and biological data types, including multi-omics data, cell/tissue images, human specimen/cohort data, cryoET tomography, scientific literature, and more. • Advance the community standards for dissemination, presentation, and evaluation of computational approaches to core scientific problems. • Contribute to the scientific community through publishing papers, blog posts, open source code, and attending conferences in machine learning and the life sciences.
• Enjoy working in a highly interactive and cross-functional collaborative environment with a diverse team of colleagues and partners. • Have a PhD or Masters in machine learning, computer science, math/statistics or a related field or equivalent industry experience. • Have at least 5-8 years of experience developing and applying AI/ML methods in industry and/or academia. • Have demonstrated experience building and training deep learning/generative models, ideally in a distributed/multi-node environment. • Experience working with, processing, and analyzing large datasets and building data pipelines for model training. • A good working knowledge of Python-based ML libraries and frameworks such as PyTorch, Jax, Pyro, NumPy, and Pandas. • Have the ability to work independently and as part of a team, and have excellent communication and interpersonal skills. • Have a proven track record of relevant research publications, preprints, or software packages. • An appetite for turning scientific problems into reproducible, rigorously engineered systems based on quantitative evaluation. • Enthusiasm about open science and helping usher in the age of generative AI for advancing science.
• CZI provides a generous employer match on employee 401(k) contributions to support planning for the future. • Annual benefit for employees that can be used most meaningfully for them and their families, such as housing, student loan repayment, childcare, commuter costs, or other life needs. • CZI Life of Service Gifts are awarded to employees to “live the mission” and support the causes closest to them. • Paid time off to volunteer at an organization of your choice. • Funding for select family-forming benefits. • Relocation support for employees who need assistance moving to the Bay Area. • And more!
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