Modeling / Interpretability 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 talented individuals specializing in mechanistic interpretability to develop and deploy scalable pipelines for analyzing and interpreting these models, helping us understand how the brain represents and processes information. The role combines rigorous engineering practices with cutting-edge research in model interpretability, working at the intersection of neuroscience and artificial intelligence.

Role & Responsibilities :

Not sure what skills you will need for this opportunity Simply read the full description below to get a complete picture of candidate requirements.

• Design and implement scalable pipelines for mechanistic interpretability analyses of large neural networks
• Develop and automate feature visualization techniques to understand neural representations
• Build tools for circuit discovery and geometric analysis of population activity
• Create efficient, reproducible analysis workflows that can handle large-scale neural data
• Collaborate with neuroscientists and ML researchers to design and implement novel interpretability methods
• Maintain and optimize distributed computing infrastructure for running interpretability analyses
• Document and share findings through technical reports and visualization tools
• 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 :

Key qualifications :

Master's degree in Computer Science or related field with 2+ years of relevant industry experience, OR Bachelor's degree with 4+ years of relevant industry experience

Strong understanding of mechanistic interpretability techniques and research literature

Expertise in implementing and scaling ML analysis pipelines

Proficiency in Python and deep learning frameworks (i.e. PyTorch)

Experience with distributed computing and high-performance computing clusters

Strong software engineering practices including version control, testing, and documentation

Familiarity with visualization tools and techniques for high-dimensional data

Preferred qualifications :

Experience with feature visualization techniques (e.g., activation maximization, attribution methods)

Knowledge of geometric methods for analyzing neural population activity

Familiarity with circuit discovery techniques in neural networks

Experience with large-scale data processing frameworks

Background in neuroscience or computational neuroscience

Contributions to open-source ML or interpretability tools

Experience with ML experiment tracking platforms (W&B, MLflow)

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.