Machine Learning Intern

New York

Tower Research Capital

Tower Research Capital: A home for the world's best quantitative trading teams, powered by a high-performance technology platform.

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Tower Research Capital, a high-frequency proprietary trading firm founded in 1998, seeks a Machine Learning Summer Intern to join our Core AI & Machine Learning team.

Responsibilities

  • Develop data pipelines for cleaning, collecting, processing, and analyzing diverse datasets.
  • Design and implement machine learning and LLM-based NLP models.
  • Conduct experiments and tests to evaluate model performance.
  • Contribute to optimizing and fine-tuning existing machine learning models.

Qualifications

  • A bachelor’s, master's, or PhD (ongoing or complete) degree or equivalent from a top university, available to join for an in-office Summer Internship in our NYC office.
  • Prior experience with training, building, and deploying models via Tensorflow/Pytorch (or similar) is mandatory.
  • Experience with CI/CD pipelines and MLOps for automating model deployments.
  • Skilled in using Linux, SQL, Git, and BASH scripting.
  • Strong knowledge of Python and hands-on.

Anticipated New York weekly base salary range $3,000-4,500.

Tower’s headquarters are in FiDi, the heart of downtown Manhattan, at the historic Equitable Building. While we work hard, Tower’s cubicle-free workplace, jeans-clad workforce, and well-stocked kitchens reflect the value the firm places on quality of life. Benefits include:

  • Competitive compensation package
  • Free breakfast, lunch, and snacks on a daily basis
  • Exciting networking and social events (past events include Broadway shows, Escape Rooms, cooking classes)
  • Opportunities to learn from senior management across the firm
  • Mentors from your alma mater and other top institutions

Tower Research Capital is an equal opportunity employer.

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Tags: CI/CD Data pipelines Git Linux LLMs Machine Learning ML models MLOps NLP PhD Pipelines Python PyTorch Research SQL TensorFlow

Perks/benefits: Career development Competitive pay Lunch / meals Team events

Region: North America
Country: United States

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