Deep Learning Research Intern - Summer 2027 - New York

IMCNew York, United StatesInternship Quant Researcher

Posted July 1, 2026

Recently verified opening

Last verified 2026-10-15. Confirm the employer's current requirements before applying.

Research deep-learning models using large datasets and modern training infrastructure. Potential topics include representation learning, transformers, foundation models, generative AI and reinforcement learning, with support from a research mentor.

Requirements

Bachelor’s, master’s or PhD student in computing, machine learning or a related quantitative field, graduating September 2027–July 2028. Applied deep-learning experience, Python and PyTorch, JAX or TensorFlow; publications or open-source research are advantages. No finance experience required. In-person start: June 7, 2027.

Programme details

Accommodation is included; performance may lead to a graduate offer. One application per role per year.

Employer-published base pay

USD 300,000 / year (annualized; prorated for the internship)

Role details summarised from the employer’s listing. Check the original application for the full requirements, benefits and current availability.

Preparing your application

Research candidates should demonstrate mathematical modelling, data analysis and coding. Graduate engineers need algorithms, data structures and strong programming fundamentals; the posting names Java or C++ as preferred languages.

Quant Blueprint’s preparation advice; confirm the employer’s requirements in the original posting.

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