TL;DR

Summer Intern AI For Drug Discovery (AI Engineering): Conduct research and develop machine learning models for drug discovery, focusing on generative ML and foundation models applied to biological molecules. Focus on designing, evaluating, and integrating large-scale foundation models into a closed feedback loop platform for therapeutic molecule design.

Location: On-site in New York, NY, United States

Salary: $50 per hour (approx. $8,000 for 12 weeks full-time)

Company

%hirify_global% is a pioneering biotechnology company dedicated to groundbreaking science and developing medicines for serious diseases.

What you will do

Participate in cutting-edge machine learning research within a cross-functional team.
Research and implement evaluation methods for large-scale foundation models across biological data modalities.
Analyze model performance on biological tasks to identify failure modes and improve architectures.
Integrate foundation models into the Lab-in-the-Loop platform for drug discovery.
Contribute to internal codebases and open-source frameworks to support reproducible research.

Requirements

Must be enrolled in or have attained a Master's or PhD degree in Computer Science, Mathematics, Computational Biology, or Statistics.
Strong proficiency in Python and experience with deep learning frameworks (PyTorch).
Experience with modern software development practices including Git, CI/CD, Docker, and cloud infrastructure.
Familiarity with multi-modal learning or representation learning challenges.
Ability to read and implement recent machine learning research methods.
On-site work in New York, NY is required.

Nice to have

Familiarity with molecular data structures such as proteins and small molecules.
Experience deploying machine learning models.
Experience benchmarking foundation models.
Proven research publication record in relevant conferences or journals.
Excellent communication and collaboration skills.

Culture & Benefits

Intensive 12-week full-time paid internship with a stipend based on location.
Paid holiday time off benefits.
Opportunity to work with leading experts in biotechnology and AI.
Supportive culture emphasizing integrity, courage, and passion.

Hiring process

Application review and evaluation of qualifications.
Interviews focusing on research background and technical skills.
Assessment of fit with team culture and values.