TL;DR

2026 Summer Intern – Large Language Models (AI): Contributing to the research and development of internal large language models for scientific discovery and therapeutic molecular design with an accent on enhancing domain knowledge and strengthening reasoning capabilities. Focus on developing and evaluating advanced post-training techniques and supporting large-scale model training on high-performance GPU clusters.

Location: On-site in New York City, New York, United States of America. Relocation benefits are not available for this job posting.

Salary: $50.00 per hour

Company

%hirify_global%, a member of the Roche group and founder of the biotechnology industry, is dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life-threatening diseases.

What you will do

Contribute to research and development of internal large language models (LLMs) for scientific discovery and therapeutic molecular design.
Develop and evaluate advanced post-training techniques to enhance domain knowledge and strengthen reasoning capabilities for scientific and biomedical applications.
Support large-scale model training on high-performance GPU clusters.
Collaborate with cross-functional teams to design and implement applied LLM use cases.

Requirements

Must be pursuing a PhD in Computer Science, Data Science, Machine Learning, Statistics, or a related technical field.
Strong Python skills and experience with ML frameworks such as PyTorch.
Solid understanding of neural networks, representation learning, and modern supervised/unsupervised methods.
Excellent written and verbal communication, and ability to work effectively with interdisciplinary teams.

Nice to have

Hands-on experience with large language models, especially post-training workflows (e.g., supervised fine-tuning and reinforcement learning).
Experience with GPU clusters or distributed training systems for efficient large-scale model training.
Exposure to drug discovery workflows, biomedical data analysis, or related life-science applications.

Culture & Benefits

A 12-week, full-time paid internship (40 hours per week).
Program start dates in May or June 2026.
Location-based stipend to support internship expenses.
Ownership of impactful, high-visibility projects.
Collaboration with leading experts in biotechnology and AI.