Machine Learning Research Intern
Job Description: Machine Learning Research Intern
Blockhouse's innovative approach to quantitative finance stems from our integration of sophisticated machine learning models with advanced financial strategies. We are seeking a Machine Learning Research Intern to support our mission and help set new benchmarks in financial analytics and execution.
Key Responsibilities:
Blockhouse's innovative approach to quantitative finance stems from our integration of sophisticated machine learning models with advanced financial strategies. We are seeking a Machine Learning Research Intern to support our mission and help set new benchmarks in financial analytics and execution.
Key Responsibilities:
- Assist in Transformer-Based Model Research: Support the development and optimization of novel transformer-based models to enhance our trading algorithms and strategies.
- Contribute to Reinforcement Learning (RL) Research: Help design, evaluate, and implement reinforcement learning agents that optimize our recommendation engine.
- Develop and Refine NLP Models: Work on creating and improving NLP models within a Retrieval-Augmented Generation (RAG) framework to perform tasks related to TCA (Transaction Cost Analysis) and trade execution.
- Model Evaluation and Explainability: Assist in evaluating model performance and providing insights into model behaviors, ensuring transparency and trust in our AI systems.
- Collaboration: Work closely with senior machine learning engineers and quant researchers to integrate machine learning solutions into our trading platform.
- Continuous Learning: Stay updated with the latest advancements in machine learning, and contribute to the refinement of our models and methodologies.
- Educational Background: Currently pursuing or recently completed a Bachelor's or Master’s degree in a quantitative field such as Computer Science, Machine Learning, Artificial Intelligence, or related disciplines.
- Machine Learning Enthusiast: Basic understanding of machine learning techniques, with an interest in transformer models and reinforcement learning.
- Programming Skills: Proficiency in Python and familiarity with machine learning libraries such as PyTorch, TensorFlow, or Hugging Face.
- Analytical and Problem-Solving Skills: Strong attention to detail, with an ability to approach complex problems with a rigorous analytical mindset.
- Eager to Learn: Enthusiasm for learning and applying new methodologies to solve challenging problems.
- Innovative Environment: Lead the charge in financial innovation at a company that's at the forefront of integrating advanced machine learning techniques with traditional financial models.
- Expert Team: Work alongside the brightest minds in an environment that values bold ideas and radical solutions to complex problems.
- Professional Growth: Enjoy a vibrant company culture that promotes career development, continuous learning, and work-life balance.
- Compensation: Receive competitive compensation in equity only, recognizing your contributions to our success.
- Work Hours: This is a part-time role requiring 20-30 hours per week.
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Seniority level
Internship -
Employment type
Full-time -
Job function
Other -
Industries
Financial Services
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