At a glance
- Location
- Montreal
About the role
- Tower Research Capital is seeking a Machine Learning Intern to join their quantitative trading firm.
- The role involves developing data pipelines, designing machine learning and NLP models, and optimizing existing systems within a high-performance environment.
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 complete) degree or equivalent from a top university
- Prior experience with training, building, and deploying models via Tensorflow/Pytorch (or similar)
- Experience with CI/CD pipelines and MLOps for automating model deployments
- Skilled in using Linux, SQL, Git, and BASH scripting
- Strong knowledge of Python
Benefits
- Competitive compensation package
- Free breakfast, lunch, and snacks daily
- Networking and social events
- Opportunities to learn from senior management
- Mentors from alma mater and other top institutions
Workplace
- Open concept workplace
Skills
- TensorFlow
- PyTorch
- CI/CD
- MLOps
- Linux
- SQL
- Git
- Bash
- Python
- NLP
- LLM
