Machine Learning Research Intern (Summer 2027)
$120k - $150k • New York, NY; San Francisco, CA
Posted 1d ago
Job Location
New York, NY; San Francisco, CA
Tech Stack
Remote Work Policy
On-site
Categories
AI Research Engineer
About the job
Scale's Machine Learning Research team is at the forefront of AI development, building the foundation for next-generation AI systems. We push the boundaries of frontier models, focusing on safety, reliability, and alignment. Our work encompasses generative AI, reinforcement learning, advanced post-training methods, scalable oversight, synthetic data, red teaming, and evaluation science. We are developing a large-scale hybrid human-machine system to power ML pipelines for numerous industry-leading customers, supporting complex and advanced AI use cases. As an intern, you will contribute to impactful production ML applications and cutting-edge research, guided by world-class researchers and collaborating with leading teams across industry and academia. Interns are expected to deliver real, published, or shipped work.
Responsibilities
- Measure dangerous capabilities of frontier models and conduct preparedness research.
- Research new benchmarks for frontier models.
- Develop methods for training models on complex reasoning problems requiring long chains of thought.
- Research reinforcement learning and post-training methods to improve model reliability on high-stakes tasks.
- Research scalable oversight protocols for human quality control of reasoning chains.
- Study model generalization and capabilities to inform data-driven advancements.
- Research synthetic and hybrid data generation with human-in-the-loop systems.
- Improve production models through retraining and hyperparameter searches, ensuring no regression on core characteristics.
- Create post-training or agentic solutions for enterprise and public sector client applications.
Requirements
- Currently enrolled in a BS, MS, or PhD program with a focus on Machine Learning, Deep Learning, or Natural Language Processing, graduating Fall 2027 or Spring 2028.
- Available for a Summer 2027 internship (May/June start dates) in San Francisco or New York.
- Prior research experience or a track record of publications in LLMs, NLP, multimodal models, agents, safety, evaluation, alignment, or related fields.
- Experience with a general-purpose programming language such as Python or JavaScript.
Benefits
- Base salary
- Equity
- Comprehensive health, dental, and vision coverage
- Retirement benefits
- Learning and development stipend
- Generous PTO
- Commuter stipend (potential)