TL;DR

2026 Summer Intern (Machine Learning): Participating in cutting-edge research in representation learning and generative modeling with an accent on applications to molecular sciences and drug discovery. Focus on developing well-documented code, contributing to publications, and presenting research findings.

Location: This on-site/in-person internship position is located in New York, NY, United States of America.

Salary: $50.00 per hour

Company

%hirify_global%, a member of the Roche group, is a biotechnology company dedicated to discovering and developing medicines for serious and life-threatening diseases.

What you will do

Participate in cutting-edge research in representation learning and generative modeling.
Apply machine learning techniques to molecular sciences and drug discovery.
Develop well-documented code to facilitate the adoption of methods and contribute to open-source initiatives.
Contribute to and drive publications, presenting results at internal and external scientific conferences.

Requirements

Must be pursuing a PhD (enrolled student) in Computer Science, Engineering, Applied Math, Computational Biology, Physics, or a related technical field.
Strong background and research experience in machine learning, demonstrated by publications in relevant conferences.
Strong programming skills in Python.
Proficiency with at least one deep learning framework, preferably PyTorch.
On-site/in-person attendance in New York, NY is required.
Relocation benefits are not available for this job posting.

Nice to have

Detailed hands-on experience building and training state-of-the-art neural network architectures.
Experience with machine learning for sciences (biology/chemistry/health/drug discovery).

Culture & Benefits

Intensive 12-week, full-time (40 hours per week) paid internship.
Program start dates are in May or June 2026.
A stipend, based on location, will be provided to help alleviate costs associated with the internship.
Part of the Roche group, committed to groundbreaking science.

2026 Summer Intern - Frontiers Research, Prescient Design (Machine Learning)