Machine Learning Summer Intern

Job Description

About the Company:

Tower Research Capital is a prominent quantitative trading firm established in 1998. It operates on a high-performance platform and utilizes independent trading teams. The company is headquartered in New York, New York, USA, and employs between 1001-5000 individuals. Classified as “Late Stage,” Tower Research Capital has a history of sponsoring H1B visas.

Job Description (Machine Learning Summer Intern):

This is a Summer Intern position for a Machine Learning Summer Intern within Tower Research Capital’s Core AI & Machine Learning team.

Key Responsibilities:
• Data Pipeline Development: Creating systems for cleaning, collecting, processing, and analyzing diverse datasets.
• Model Design & Implementation: Developing and deploying machine learning models, including those based on LLM-based Natural Language Processing (NLP).
• Performance Evaluation: Conducting experiments and tests to assess the effectiveness and performance of models.
• Model Optimization: Contributing to the fine-tuning and optimization of existing machine learning models.

Required Qualifications:
• Education: An ongoing or completed Bachelor’s, Master’s, or PhD degree (or equivalent) from a top university.
• Availability: Must be available to join for an in-office Summer Internship in Tower Research Capital’s NYC office.
• ML Frameworks: Mandatory prior experience with training, building, and deploying models using frameworks like Tensorflow/Pytorch or similar tools.
• MLOps: Experience with CI/CD pipelines and MLOps for automating model deployments.
• Technical Skills: Proficiency in Linux, SQL, Git, and BASH scripting.
• Programming: Strong knowledge and hands-on experience with Python.