Hybrid ML Research Intern - Neuroscience

Allen Institute; Seattle (WA); Hybrid; USD 43,000 - 62,000; Part time

Job summary

The Allen Institute invites graduate students to join as a Research Intern in Machine Learning for Neuroscience. This 12-month, part-time internship, starting in late fall 2026, focuses on analyzing large-scale neural and behavioral recordings to understand how neuron populations coordinate movement.

Ideal candidates are enrolled in a master’s or PhD program in a quantitative field, with strong Python and ML coursework, and the ability to work onsite at least one day per week.

Qualifications

• Currently enrolled in a master’s or PhD program in electrical and computer engineering, computer science, or a related quantitative field.
• Completed coursework in programming, linear algebra, probability and statistics, and at least one of machine learning or signal processing.
• Demonstrated experience with scientific computing in Python (numpy, scipy, pandas).
• Available to start in late October / early November 2026 and able to commit to the position for one year.
• Able to work onsite at least one day per week.

Responsibilities

• Characterize how coordinated activity across two simultaneously recorded neural populations encodes forelimb force.
• Implement, fit, and evaluate machine learning and latent variable models that partition shared versus population-specific covariance.
• Relate neural population activity to behavioral variables using regression and classification methods with cross-validation.
• Extend analysis to EMG and synchronized video and study changes across days of learning.
• Produce documented, version-controlled Python analysis code for the team.
• Communicate results to mentoring scientists and contribute figures and methods text toward posters and manuscripts.

Skills

Python programming

Machine learning

Scientific computing

Education

Master's/PhD in quantitative field

Programming coursework

Linear algebra coursework

Probability and statistics coursework

ML or signal processing coursework

Tools

Python (numpy, scipy, pandas)

Job description

The Allen Institute invites graduate students to join as a Research Intern in Machine Learning for Neuroscience. This 12-month, part-time internship, starting in late fall 2026, focuses on analyzing large-scale neural and behavioral recordings to understand how neuron populations coordinate movement.

Ideal candidates are enrolled in a master’s or PhD program in a quantitative field, with strong Python and ML coursework, and the ability to work onsite at least one day per week.