Machine Learning Engineer

Janestreet

Hong Kong, Hong Kong
On-site
Machine learning ecosystem knowledge
Neural networks, random forests, gradient-boosted trees
Enhancing research workflows
Janestreet is seeking a Machine Learning Engineer with strong mathematical foundations and experience in machine learning to join their team in Hong Kong. The role involves developing and maintaining ML infrastructure and enhancing research workflows within a dynamic trading environment

Job Summary

  • We are looking for an engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform.
  • Our ever-evolving trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing us to incorporate new ideas with relatively little friction.
  • Successful ML engineers will be able to understand the mechanics behind various modelling techniques, while also being able to break down the mathematics behind them.

Matching Summary

Match Score: 85

Janestreet is seeking a Machine Learning Engineer with strong mathematical foundations and experience in machine learning to join their team in Hong Kong. The role involves developing and maintaining ML infrastructure and enhancing research workflows within a dynamic trading environment.

Skills & Requirements

Must-have

  • Machine learning ecosystem knowledge
  • Neural networks, random forests, gradient-boosted trees
  • Enhancing research workflows
  • Understanding modelling technique mechanics
  • PyTorch, Jax, TensorFlow expertise
  • Organised research codebase
  • Fluent in English

Nice-to-have

  • Curious mind
  • Passion for solving interesting problems
  • Inventive approach
  • Willingness to ask hard questions

Key Requirements

  • Experience building and maintaining training and inference infrastructure
  • Strong mathematical background
  • Passion for keeping up with state of the art

Work Rights

Not specified

Tailored Resume

Cover Letter