Machine Learning Research Scientist (1 Year Fixed Term)

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. Leveraging recent advances in neurotechnology and machine learning, this project aims to create a foundation model of the brain, capturing the relationship between perception, cognition, behavior, and the activity dynamics of the brain. This ambitious initiative promises to offer unprecedented insights into the algorithms of the brain while serving as a key resource for aligning artificial intelligence models with human-like neural representations.

As part of this project, we seek exceptional individuals with extensive experience building, using, and fine-tuning large-scale multimodal foundation models. The team will be responsible for training frontier multi-modal models on large-scale data of neuronal recordings that relate sensory input to neuronal correlates of perception, action, cognition, and intelligence. We expect the candidate to have expertise in modern deep learning libraries (preferably PyTorch) and recent developments in multimodal foundation models. This position promises a vibrant atmosphere at Stanford University in a collaborative community renowned for expertise in computational neuroscience and deep learning.

Role & 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 :

Application :

In addition to applying to the position, please send your CV and one page interest statement to : recruiting@enigmaproject.ai

Desired Qualifications :

Preferred Qualifications :

EDUCATION & EXPERIENCE (REQUIRED) :

Bachelor's degree and five years of relevant experience, or combination of education and relevant experience.

KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED) :

CERTIFICATIONS & LICENSES :

None

PHYSICAL REQUIREMENTS

Occasionally stand / walk, sit, twist / bend / stoop / squat, grasp forcefully.

40 pounds.

WORKING CONDITIONS :

80dB TWA, Allergens / Biohazards / Chemicals / Asbestos, confined spaces, working at heights 10 feet, temperature extremes, heavy metals, unusual work hours or routine overtime and / or inclement weather.

The expected pay range for this position is $156,560 to $180,039 annually.

Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.

At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https : / / cardinalatwork.stanford.edu / benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.

Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form.

Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.