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About the Role
As an intern, you'll work on a combination of deeply technical ML applications in production and cutting-edge research problems, with mentorship from world-class researchers and the opportunity to collaborate with leading teams across industry and academia. Interns own real, published or shipped work — not side projects.
Responsibilities
- Measure the dangerous capabilities of frontier models and conduct preparedness research
- Research the science and creation of new benchmarks for frontier models
- Develop new methods for training models to excel on extremely difficult reasoning problems that require long chains of thought
- Research reinforcement learning and post-training methods that improve model reliability on high-stakes tasks
- Research scalable oversight protocols that enable humans to produce and quality control reasoning chains beyond their native capabilities
- Study the boundaries of model generalization and capabilities to inform data-driven advancements
- Research synthetic and hybrid data with humans in the loop to scale up high-quality data generation
- Take models currently in production, identify areas for improvement, improve them using retraining and hyperparameter searches, then deploy without regressing on core model characteristics
- Create post-training or agentic solutions that integrate into our ability to deliver applications for enterprise and public sector clients
Requirements
- Currently enrolled in a BS, MS or PhD program with a focus on Machine Learning, Deep Learning, or Natural Language Processing, with a graduation date in Fall 2027 or Spring 2028
- Available for a Summer 2027 internship (May/June start dates)
- Prior research experience or a track record of publications on LLMs, NLP, multimodal models, agents, safety, evaluation, alignment, or a related field
- Experience with one or more general purpose programming languages, including Python, Javascript, or similar
Skills
- Machine Learning
- Deep Learning
- Natural Language Processing
- LLMs
- multimodal models
- agents
- safety
- evaluation
- alignment
- Python
- Javascript
- reinforcement learning
- agentic systems
- evaluation infrastructure
Location
- San Francisco
- New York
Work Type
- Internship
- Full-time
Experience Level
- Intern
Education Level
- BS
- MS
- PhD
Salary/Compensations
- $120,000—$150,000 USD
Benefits
- Comprehensive health, dental and vision coverage
- Retirement benefits
- Learning and development stipend
- Generous PTO
- Commuter stipend
About the Company
- At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
Equal Opportunity
- We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
- We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
- We comply with the United States Department of Labor's Pay Transparency provision.