ML Research Intern — Frontier AI & Safety, Mentored

Scale AI; United States; On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Health/dental/vision coverage

Retirement benefits

Learning and development stipend

Generous PTO

Job summary

Scale is seeking a Summer 2027 intern to work on deeply technical ML applications in production and cutting-edge research problems. You will be mentored by world-class researchers and have the opportunity to collaborate with leading teams across industry and academia.

The internship requires enrollment in a BS/MS/PhD program with graduation Fall 2027 or Spring 2028, available May/June 2027 in San Francisco or New York, and experience with Python or JavaScript.

Qualifications

• Enrolled in BS/MS/PhD program with a focus on Machine Learning, Deep Learning, or NLP; graduation Fall 2027 or Spring 2028.
• Available for a Summer 2027 internship (May/June start) in San Francisco or New York.
• Prior research experience or publications on LLMs, NLP, multimodal models, agents, safety, evaluation, alignment, or related field.
• Experience with Python or JavaScript (general-purpose languages).

Responsibilities

• Work on deeply technical ML applications in production and cutting-edge research problems with mentorship from researchers.
• Contribute to published or shipped work as part of internship deliverables.

Skills

Python

JavaScript

Education

BS/MS/PhD program in ML/NLP (Fall 2027 or Spring 2028)

Job description

Scale is seeking a Summer 2027 intern to work on deeply technical ML applications in production and cutting-edge research problems. You will be mentored by world-class researchers and have the opportunity to collaborate with leading teams across industry and academia.

The internship requires enrollment in a BS/MS/PhD program with graduation Fall 2027 or Spring 2028, available May/June 2027 in San Francisco or New York, and experience with Python or JavaScript.