# Machine Learning Research Intern (Summer 2027) **Company**: Scale **Location**: New York, NY **Work arrangement**: hybrid **Experience**: entry **Job type**: internship **Salary**: $120,000-$150,000 USD **Category**: Engineering **Industry**: Technology **Apply**: https://job-boards.greenhouse.io/scaleai/jobs/4735665005?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_dd3331d0-359 ## Description At Scale, our mission is to develop reliable AI systems for the world's most important decisions. As an intern on the Machine Learning Research team, 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. ## Example Projects - 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 ## Required to Have - 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) in San Francisco Or New York - 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 ## Ideally You'd Have - A previous internship in Machine Learning, Deep Learning, Natural Language Processing, Adversarial Robustness, Alignment, Evaluation, or Agents - Experience as a researcher , through internships, full-time roles, or at a lab - Publications at top-tier venues such as NeurIPS, ICML, ICLR, CVPR, ACL, EMNLP or AAAI, or contributions to open source projects - Hands-on experience with reinforcement learning, agentic systems, or evaluation infrastructure ## How We Work Our credos shape how we make decisions and work as a team: - Earn Customer Love , trust is earned with every interaction, every delivery, and every problem we solve - Team Flow , ideas, energy, and support move freely across teams; optimize for the whole - Quality is Our Cheat Code , the systems that deliver quality consistently are a structural advantage - Find the 20% , find the inputs that drive the outcomes and execute them completely - Write the Market , our research puts us at the frontier, and we bring our partners there first - Three Moves Ahead , consider the consequences of consequences, and plan accordingly ## Compensation The base salary range for this full-time position in the locations of San Francisco and New York is: $120,000-$150,000 USD. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. ## Skills ### Required - Machine Learning - Deep Learning - Natural Language Processing - Python - Javascript ### Nice to have - reinforcement learning - agentic systems - evaluation infrastructure --- Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/scaleai/jobs/4735665005?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)