R And D Engineer Jobs in San Francisco

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AI Scientist
San FranciscoUS$200000 - US$250000 per year

EPM Scientific are partnered with a techbio organization building a next-generation data and AI platform to tackle some of the most complex and underserved areas in medicine. Their mission is to create scalable, ethically sourced datasets and computational tools that enable breakthroughs in diagnostics, biomarker discovery, and therapeutic developm...

Machine Learning Research Engineer Training
San FranciscoUS$200000 - US$260000 per year

Machine Learning Research Engineer - TrainingOur team is partnered with a frontier small molecule discovery team based in San Francisco and New York, led by world-class researchers and engineers at the forefront of physics-informed machine learning and computational chemistry. Be part of a team redefining how molecules and materials are discovered...

Founding Machine Learning Researcher / Engineer
San FranciscoUS$180000 - US$250000 per year

Founding Machine Learning Researcher / Engineer I'm supportin a stealth AI4Science start-up that is building foundation models that unify molecular design, physical reasoning, and automated experimentation. They are developing large-scale systems that can understand, generate, and evaluate molecules and materials by combining data-driven learning w...

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Selby Jennings Start Your Career In Recruitment
Frontier ML Infrastructure Research Engineer DeepTech VC
San FranciscoUS$200000 - US$300000 per year

Frontier ML Infrastructure Research Engineer (SF or NYC) - DeepTech VC A leading DeepTech venture capital firm is seeking a resident expert in frontier machine learning and compute to join its research organization. The environment is built around high-slope learners who can move from unfamiliar territory to clear, defensible insight with speed. Th...

AI Scientist
San FranciscoUS$150000 - US$225000 per year

Role OverviewThe team is seeking an AI Scientist who specializes in multimodal data. This role involves designing and building models that learn from and reason across diverse biological, clinical, and real world datasets. You will develop ML systems that combine multi omic assays, clinical records, biospecimen linked measurements, and digital phen...