2026 Summer Intern - Frontiers Research, Prescient Design
About The Position
The Frontier Research team within Prescient Design seeks exceptional graduate student interns with a demonstrated research background in machine learning, a passion for independent research and technical problem-solving, and a proven ability to develop and implement research ideas. This on-site/in-person internship position is located in New York, NY. The Opportunity Participate in cutting-edge research in representation learning and generative modeling, and applications to molecular sciences and drug discovery. Develop well-documented code to facilitate adoption of the methods. Contribute to and drive publications, present results at internal and external scientific conferences, and make code and workflows open source. Program Highlights 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.
Requirements
- Must be pursuing a PhD (enrolled student).
- Computer Science, Engineering, Applied Math, Computational Biology, Physics or related technical field.
- Excellent and proactive communication, collaboration, and interpersonal skills.
- Strong background and research experience in machine learning, as demonstrated by publications in conferences such as NeurIPS, ICLR, ICML, CVPR, ICCV/ECCV, ACL, EMNLP etc.
- Strong programming skills in Python and at least one deep learning framework (preferably Pytorch).
Nice To Haves
- Detailed hands-on experience on building and training state-of-the-art neural networks architectures.
- Experience with machine learning for sciences (biology/chemistry/health/drug discovery) is desired, but not necessary.
Responsibilities
- Participate in cutting-edge research in representation learning and generative modeling, and applications to molecular sciences and drug discovery.
- Develop well-documented code to facilitate adoption of the methods.
- Contribute to and drive publications, present results at internal and external scientific conferences, and make code and workflows open source.
Benefits
- paid holiday time off benefits
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees
