Machine Learning Research Intern (Summer 2027)
Scale AI · New York, NY; San Francisco, CA · San Francisco, CA
Infrastructureonsiteintern
At a glance
Highlights
- Measure dangerous capabilities of frontier models for preparedness research.
- Develop new benchmarks and improve reasoning with long chains of thought.
- Research RL post-training to boost reliability on high-stakes tasks.
Ideal candidate
Enrolled ML researcher passionate about frontier model safety and reliability who wants to own real, shipped work on reasoning and evaluation.
Requirements
- Currently enrolled in BS, MS or PhD program focused on Machine Learning, Deep Learning, or NLP with Fall 2027 or Spring 2028 graduation
- Available for Summer 2027 internship starting May/June 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, Javascript or similar general purpose programming language
Lab profile
About Scale AI
AI data foundry providing high-quality data for training, fine-tuning, and evaluating AI systems.
What they build
- Training, fine-tuning, and evaluation data for frontier models
- Multimodal and coding data for audio, image, video and world models
- Custom AI applications for enterprise and global public sector
Known for
- Leading data partner for frontier model developers
- Trusted across enterprise, defense and public sector
- Depth in multimodal, coding and physical AI
- End-to-end capability from strategy to delivery and evaluation
Key facts
- Founded in 2016
- Headquartered in San Francisco, California
- Private company backed by Accel, Founders Fund, Index Ventures, Nvidia and Meta
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