Stanford University
Machine Learning Research Scientist (1 Year Fixed Term)
Stanford University, Stanford, California, United States, 94305
Overview
Machine Learning Research Scientist (1 Year Fixed Term) – School of Medicine, Stanford, California, United States. The Enigma Project ( enigmaproject.ai ) is a research organization based in the Department of Ophthalmology at Stanford University School of Medicine dedicated to understanding the computational principles of natural intelligence using the tools of artificial intelligence. The project aims to create a foundation model of the brain by capturing the relationship between perception, cognition, behavior, and the activity dynamics of the brain. This initiative seeks to offer insights into the algorithms of the brain while serving as a resource for aligning artificial intelligence models with human-like neural representations. We seek exceptional individuals with extensive experience building, using, and fine-tuning large-scale multimodal foundation models. The team will train frontier multi-modal models on large-scale data of neuronal recordings that relate sensory input to neuronal correlates of perception, action, cognition, and intelligence. The candidate should have expertise in modern deep learning libraries (preferably PyTorch) and in recent developments in multimodal foundation models. This position offers a vibrant atmosphere at Stanford University within a collaborative community renowned for computational neuroscience and deep learning. Responsibilities
Design and implement large-scale multimodal deep learning architectures that relate sensory inputs to neuronal correlates of perception, action, and cognition Develop novel computational approaches for training and optimizing frontier models on unprecedented amounts of neural data Provide technical leadership in distributed training systems and model optimization techniques Guide cross-functional teams in establishing technical frameworks and evaluation metrics for brain foundation models Communicate research findings through publications, presentations, workshops and research blogs Stay ahead of the latest developments in machine learning and neuroscience, and propose innovative solutions to advance the project’s goals Other duties may also be assigned What we offer
A rich environment to pursue fundamental research questions in AI and neuroscience A dynamic team of engineers and scientists in a project dedicated to one mission, rooted in academia but inspired by science in industry Access to unique datasets spanning artificial and biological neural networks State-of-the-art computing infrastructure Competitive salary and benefits package Collaborative environment at the intersection of multiple disciplines Location at Stanford University with access to its research community Strong mentoring in career development Application
In addition to applying to the position, please send your CV and a one-page statement of interest to: recruiting@enigmaproject.ai Qualifications
Education & Experience (Required)
Bachelor\'s degree and five years of relevant experience, or a combination of education and relevant experience. Knowledge, Skills and Abilities (Required)
Expert knowledge of engineering and related natural sciences principles Demonstrated project leadership experience Experience leading and/or managing technical professionals Certifications & Licenses
None Physical Requirements
Frequent light manipulation and desk-based computer tasks; ability to lift/carry/push/pull up to 10 pounds Occasional standing/walking, sitting, twisting/bending, stooping/squatting; rare kneeling/crawling and climbing Reasonable accommodation will be provided as required by law Working Conditions
May be exposed to high voltage electricity, radiation or electromagnetic fields, lasers, noise, allergens/biohazards/chemicals, confined spaces, and other conditions; may require travel The expected pay range for this position is $156,560 to $180,039 annually. Stanford provides pay ranges as a good faith estimate of compensation. The actual offer is determined by factors including scope, qualifications, department budget, and market conditions. Stanford values diversity and is an equal employment opportunity and affirmative action employer. Additional Information
Schedule: Full-time Job Code: 4982 Employee Status: Regular Grade: K Requisition ID: 106889 Work Arrangement: On Site
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Machine Learning Research Scientist (1 Year Fixed Term) – School of Medicine, Stanford, California, United States. The Enigma Project ( enigmaproject.ai ) is a research organization based in the Department of Ophthalmology at Stanford University School of Medicine dedicated to understanding the computational principles of natural intelligence using the tools of artificial intelligence. The project aims to create a foundation model of the brain by capturing the relationship between perception, cognition, behavior, and the activity dynamics of the brain. This initiative seeks to offer insights into the algorithms of the brain while serving as a resource for aligning artificial intelligence models with human-like neural representations. We seek exceptional individuals with extensive experience building, using, and fine-tuning large-scale multimodal foundation models. The team will train frontier multi-modal models on large-scale data of neuronal recordings that relate sensory input to neuronal correlates of perception, action, cognition, and intelligence. The candidate should have expertise in modern deep learning libraries (preferably PyTorch) and in recent developments in multimodal foundation models. This position offers a vibrant atmosphere at Stanford University within a collaborative community renowned for computational neuroscience and deep learning. Responsibilities
Design and implement large-scale multimodal deep learning architectures that relate sensory inputs to neuronal correlates of perception, action, and cognition Develop novel computational approaches for training and optimizing frontier models on unprecedented amounts of neural data Provide technical leadership in distributed training systems and model optimization techniques Guide cross-functional teams in establishing technical frameworks and evaluation metrics for brain foundation models Communicate research findings through publications, presentations, workshops and research blogs Stay ahead of the latest developments in machine learning and neuroscience, and propose innovative solutions to advance the project’s goals Other duties may also be assigned What we offer
A rich environment to pursue fundamental research questions in AI and neuroscience A dynamic team of engineers and scientists in a project dedicated to one mission, rooted in academia but inspired by science in industry Access to unique datasets spanning artificial and biological neural networks State-of-the-art computing infrastructure Competitive salary and benefits package Collaborative environment at the intersection of multiple disciplines Location at Stanford University with access to its research community Strong mentoring in career development Application
In addition to applying to the position, please send your CV and a one-page statement of interest to: recruiting@enigmaproject.ai Qualifications
Education & Experience (Required)
Bachelor\'s degree and five years of relevant experience, or a combination of education and relevant experience. Knowledge, Skills and Abilities (Required)
Expert knowledge of engineering and related natural sciences principles Demonstrated project leadership experience Experience leading and/or managing technical professionals Certifications & Licenses
None Physical Requirements
Frequent light manipulation and desk-based computer tasks; ability to lift/carry/push/pull up to 10 pounds Occasional standing/walking, sitting, twisting/bending, stooping/squatting; rare kneeling/crawling and climbing Reasonable accommodation will be provided as required by law Working Conditions
May be exposed to high voltage electricity, radiation or electromagnetic fields, lasers, noise, allergens/biohazards/chemicals, confined spaces, and other conditions; may require travel The expected pay range for this position is $156,560 to $180,039 annually. Stanford provides pay ranges as a good faith estimate of compensation. The actual offer is determined by factors including scope, qualifications, department budget, and market conditions. Stanford values diversity and is an equal employment opportunity and affirmative action employer. Additional Information
Schedule: Full-time Job Code: 4982 Employee Status: Regular Grade: K Requisition ID: 106889 Work Arrangement: On Site
#J-18808-Ljbffr