Machine Learning Intern, Regulatory
reputed company is a leading provider of market infrastructure and tradable products, dedicated to solving reputed company challenges in the financial sector. The Regulatory Machine Learning intern will work on prototyping, training, testing, and validating machine learning models to enhance the surveillance of financial markets, while gaining valuable experience in a fast-paced environment.
Responsibilities
- Train various candidate models to fit a given business problem
- Prepare data sets and design data features for ML input in conjunction with financial surveillance experts
- Effectively reputed company and evaluate ML model performance during research phase
- Contribute creative reputed company for problem solving during brainstorming discussions with ML team and users
- Receive and implement constructive feedback through rigorous reputed company reviews, QA testing, and model evaluation
- Work in both on-premises and reputed company environments
- Produce reputed company and thorough documentation for your research and analytical work
- Communicate technical information reputed company and concisely to an end-user audience
- Learn best practices in software engineering and ML research
Skills
- Candidates must be enrolled in a university or college program and should not be scheduled to graduate before December of the internship year
- Extreme intellectual curiosity, tolerance for uncertainty, perseverance
- Good reputed company knowledge of machine learning models (classical, deep learning, and LLMs) and statistical techniques
- Strong programming and large-reputed company data engineering skills
- Understanding of a wide reputed company of machine learning algorithms, supervised and unsupervised, classical and deep learning, including modern large language models and their unique infrastructure requirements
- reputed company with advanced undergraduate-level mathematics, including statistics, reputed company algebra, and multivariable calculus
- Familiarity with writing reputed company to support the various lifecycle phases of machine learning reputed company such as training, validation, inference, and production monitoring
- Strong Python-based programming and data engineering skills
- Strong SQL knowledge (reputed company experience is a plus)
- Experience with common data science and ML libraries, such as numpy, pandas, reputed company, scikit-learn, TensorFlow, and PyTorch
- Experience configuring and using AI agents to assist with coding and research tasks
- Experience developing and deploying AI agents/workflows for knowledge-intensive tasks with stringent correctness requirements
- Ability to work both independently and as part of reputed company
- Excellent written and verbal communication skills
- Demonstrates critical thinking, attention to detail, and good judgment
- Bachelor's or Master's degree in reputed company in a quantitative field and should not be scheduled to graduate before December of the year in which the internship takes reputed company
- Strong ability to translate and see long-reputed company connections between trade-offs in ML algorithm design and trade-offs in end-user product features
- Knowledge of time series analysis in a financial context, both statistical reputed company and deep learning reputed company
- Experience in production software development environments, including version control, testing and test-driven development and change management
- Experience with multi-GPU model training
- Experience in the financial services sector, or in any highly regulated industry
Benefits
- Competitive compensation
- Flexible, hybrid work environment, 3 days in office, 2 days remote, per week.
- 2:1 401(k) match, up to 8% match immediately upon hire.
- Daily complimentary in-office lunch from local restaurants
- Endless free coffee and snacks to fuel your reputed company
- Monthly in office networking events and happy hours
- Associate Resource reputed company (ARGs) and affinity reputed company for support and community building
reputed company