Machine Learning Systems Engineer (1 Year Fixed Term)

The Department of Ophthalmology in the School of Medicine at Stanford University is launching an interdisciplinary Neuro-AI project dedicated to building a foundation model of the brain. This endeavor will involve multiple labs and faculty across the Stanford campus, including the Wu Tsai Neurosciences Institute, Stanford Bio-X, and the Human-Centered Artificial Intelligence Institute. Leveraging cutting-edge advances in electrophysiology and machine learning, this project aims to create a functional 'digital twin' — a model that captures both the activity dynamics of the brain at cellular resolution and the intelligent behavior it generates, including perception, motor planning, learning, reasoning, and problem-solving.

Check below to see if you have what is needed for this opportunity, and if so, make an application asap.

This ambitious initiative promises to offer unprecedented insights into the brain's algorithms of perception and cognition while serving as a key resource for aligning artificial intelligence models with human-like neural representations. As part of this project, we are seeking talented systems engineers with extensive experience in large scale data and compute clusters. As a Systems Engineer, you will be responsible for designing, deploying, and maintaining the compute infrastructure that supports our machine learning and data pipeline operations.

This position promises a vibrant and cooperative atmosphere within the laboratories of Andreas Tolias (https : / / toliaslab.org), Tirin Moore (https : / / www.moorelabstanford.com) and other labs at Stanford University renowned for their expertise in perception, cognition, pioneering neural recording techniques, computational neuroscience, machine learning, and Neuro-AI research.

Duties include :

• Design and develop complex and specialized equipment, instruments, or systems; coordinate detailed phases of work related to responsibility for part of a major project or for an entire project of moderate scope.
• Develop technical and methodological solutions to complex engineering / scientific problems requiring independent analytical thinking and advanced knowledge.
• Develop creative new or improved equipment, materials, technologies, processes, methods, or software important to the advancement of the field.
• Contribute technical expertise, and perform basic research and development in support of programs / projects; act as advisor / consultant in area of specialty.
• Contribute to portions of published articles or presentations; prepare and write reports; draft and prepare scientific papers.
• Provide technical direction to other research staff, engineering associates, technicians, and / or students, as needed.
• Other duties may also be assigned

What we offer :

Application :

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

DESIRED QUALIFICATIONS :

EDUCATION & EXPERIENCE (REQUIRED) :

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

KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED) :

CERTIFICATIONS & LICENSES :

None

PHYSICAL REQUIREMENTS

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 $126,810 to $151,461 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.

J-18808-Ljbffr

Salary : $126,810 - $151,461