Machine Learning Research Intern

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    Scale AI

    Making AI work since 2016

    501-1,000 employeesFounded 2016San Francisco, CaliforniaSoftware Development
    Actively hiringPaidSummer 2027Software Development
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    Best applied by Oct 22

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    About the role#

    As a Machine Learning Research Intern, you will work on technical ML applications in production and research problems. You will receive mentorship from researchers and collaborate with teams across industry and academia. Interns own real work that is either published or shipped.

    What you'll do#

    • 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 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.
    • Identify areas for improvement in production models, improve them using retraining and hyperparameter searches, then deploy.
    • Create post-training or agentic solutions that integrate into our ability to deliver applications for enterprise and public sector clients.

    What you'll need#

    • Currently enrolled in a BS, MS, or PhD program with a focus on Machine Learning, Deep Learning, or Natural Language Processing.
    • Graduation date in Fall 2027 or Spring 2028.
    • Available for a Summer 2027 internship with a May or June start date.
    • Prior research experience or a track record of publications on LLMs, NLP, multimodal models, agents, safety, evaluation, or alignment.
    • Experience with one or more general purpose programming languages, such as Python or Javascript.

    Location & details#

    • Locations: New York, NY and San Francisco, CA.
    • Term: Summer 2027.
    • Modality: On-site.
    • Employment type: Full-time.
    • Compensation: Paid position with a salary range of $120,000 to $150,000 USD.

    About Scale AI

    Scale AI provides data and technology for the development of artificial intelligence systems. Founded in 2016 and based in San Francisco, the company operates in the software development sector. Its platform supports the creation and evaluation of generative models for enterprise and government clients. The organization employs over 6,000 people.

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