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Machine Learning Research Intern (Summer 2027)
Scale AI San Francisco, CA / New York, NY, USA
$120K – $150K /yearFound by AICareersOnly. Our team found this opening on the company's official careers page. You apply directly with the employer.New
Researchllmmachine-learningnlp4 hours ago

Machine Learning Research Intern (Summer 2027)

at Scale AISan Francisco, CA / New York, NY, USA

Apply now

$120K – $150K /yearFound by AICareersOnlyOn-siteInternshipEntry levelResearch

AI Signal

Job overview

About the role

Scale AI is hiring Machine Learning Research Interns for Summer 2027 to join its ML Research team in San Francisco or New York. Interns work on frontier model research and production ML, with mentorship from experienced researchers and ownership of work that gets published or shipped.

What you'll do

Research post-training and reinforcement learning methods that make models more reliable on high-stakes and long-reasoning tasks
Evaluate frontier model capabilities, including preparedness research and new benchmark design
Explore scalable oversight protocols and synthetic or hybrid human-in-the-loop data generation
Improve production models through retraining and hyperparameter search, then deploy without regressions
Build post-training or agentic solutions for enterprise and public sector applications

Requirements

Enrolled in a BS, MS or PhD focused on ML, deep learning or NLP, graduating Fall 2027 or Spring 2028
Available for a Summer 2027 internship (May/June start) in SF or NYC
Prior research experience or publications on LLMs, NLP, multimodal models, agents, safety, evaluation or alignment
Proficiency in Python, JavaScript or a similar general-purpose language
Nice to have: prior ML internship, top-tier publications (NeurIPS, ICML, ICLR, ACL), experience with RL, agents or evaluation infrastructure

llmmachine-learningnlpreinforcement-learningpythonalignmentpost-trainingevaluation

Posted 4 hours ago