2024 Machine Learning Center of Excellence Summer Associate – Time Series & Reinforcement Learning Internship – (6 months)
JPMorgan Chase
- Hong Kong
- Training
- Full-time
- Ph.D. or in the last year of a Ph.D. program in machine learning, statistics, mathematics, computer science, economics, finance, science, engineering, or other quantitative fields
- Knowledge of machine learning / data science theory, techniques, and tools
- Scientific thinking, ability to work with literature and the ability to implement complex projects
- Ability to understand business problem, study literature for a solution approach, write high quality code for the chosen method, design training and experimentation to validate the algorithms and implementation, and to evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
- Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences
- Ability to work both independently and in highly collaborative team environments
- Excellent analytical, quantitative, and problem-solving skills and demonstrated research ability
- Curious, hardworking, detail-oriented and motivated by complex analytical problems
- Knowledge of Financial Mathematics, Stochastic Calculus, Bayesian techniques, Statistics, State-Space models, MCMC, DSGE models, MCTS / distributed
- Knowledge and experience with Reinforcement Learning methods
- Knowledge of python, Tensorflow, tf-agent, Ray, RLLib, Tune, or other ML frameworks, etc.
- Experience with any of OOP, graph-based computation engines, large scale software development, C++/Java/CUDA, performance focused implementations, numerical algorithms, distributed computing, cloud computing, data transformation pipelines
- Familiarity with source control, continuous integration models and unit test development
- Published research in areas of natural language processing, speech recognition, reinforcement learning, or deep learning at a major conference or journal