Machine Learning Research Intern (Summer 2027)

What you'll do

• Research and develop methods, benchmarks, and evaluations for frontier models and high-stakes reasoning tasks.
• Improve production models through retraining and hyperparameter searches, then deploy updates without regressing core characteristics.
• Develop human-in-the-loop data, oversight, post-training, and agentic systems for enterprise and public-sector applications.

What they ask for

• Currently enrolled in a BS, MS, or PhD program focused on Machine Learning, Deep Learning, or Natural Language Processing, graduating Fall 2027 or Spring 2028.
• Available for a Summer 2027 internship, with a May/June start, in San Francisco or New York.
• Prior research experience or publication track record in 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.

Nice to have

• Previous internship in a related ML field, or research experience through an internship, full-time role, or lab.
• Top-tier publications or open-source contributions; hands-on experience with reinforcement learning, agentic systems, or evaluation infrastructure.

Pay

$120,000 — $150,000 USD (base salary)

Tools

Python, Javascript

AI focus

Research and develop frontier AI models and systems, including generative AI, reinforcement learning, post-training, scalable oversight, synthetic data, red teaming, evaluation, safety, alignment, and agentic solutions.