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    Internships/Seven Research, LLC

    Deep Learning Researcher - Intern

    Seven Research, LLC · New York, New York, United States

    rollingOn-sitePaidPosted 2026-07-01
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    About the role#

    As a Deep Learning Researcher intern, you will contribute to the development of advanced deep learning models to expand the boundaries of quantitative finance. You will work within a research-driven environment, focusing on conducting rigorous, systematic research to pioneer new methodologies and uncover sophisticated insights.

    What you'll do#

    • Conduct systematic research to pioneer advanced methodologies.
    • Uncover sophisticated insights and implement innovative approaches within the team.
    • Exercise ownership over specific research projects.
    • Develop advanced deep learning models to address complex quantitative challenges.

    What you'll need#

    • PhD degree in Computer Science or a related field.
    • Mastery of deep learning techniques and a track record of building sophisticated predictive models.
    • Strong programming skills, specifically in Python.
    • Experience working with large data sets and computationally intensive projects.
    • Experience with high-performance computing.
    • Publications in relevant journals or conference presentations.
    • Strong communication skills to articulate complex technical concepts.

    Location & details#

    • Location: New York, New York, United States.
    • Modality: On-site.
    • Employment: Full-time internship.
    • Compensation: The base salary is prorated based on a full-time range of $200,000 - $300,000.
    Relevant fields:Computer ScienceData Science

    About Seven Research, LLC

    Seven Research, LLC is a privately held technology firm based in New York, NY. Established in 2024, the company maintains a staff of 11 to 50 employees. The organization focuses on quantitative finance, machine learning, and deep learning technologies. It serves global markets by developing solutions for complex technical and scientific challenges.

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