Machine Learning Intern
New York
Internship Entry-level / Junior USD 150K - 225K
Tower Research Capital
Tower Research Capital: A home for the world's best quantitative trading teams, powered by a high-performance technology platform.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.
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
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