Tower Research Capital
Machine Learning Intern
Eligibility
- Current student or recent graduate with relevant degree or experience
Machine Learning internship focused on developing data pipelines, implementing ML and NLP models including LLMs, conducting experiments, and optimizing models for quantitative trading research.
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
Requirements
- Bachelor's, Master's, or PhD ongoing or completed, or equivalent experience
- Experience training, building, and deploying models using TensorFlow, PyTorch or similar
- Experience with CI/CD pipelines and MLOps for automating model deployment
- Proficiency with Linux, SQL, Git, and Bash scripting
- Strong Python knowledge
Skills
- Machine learning
- TensorFlow
- PyTorch
- NLP
- Python
- Linux
- SQL
- Git
- Bash scripting
- MLOps
- CI/CD pipelines
- Employer posted
- Last checked