Machine Learning Educator

1 Month ago • All levels • Research Development

Job Summary

Job Description

Jane Street is seeking an experienced Machine Learning Educator to teach employees about machine learning, a critical component of their global business. The role involves developing and maintaining educational programs covering general ML, AI assistant usage, internal ML training stacks, and performance reasoning. The ideal candidate will be a skilled and effective teacher, proficient in writing and presenting, and capable of writing code for machine learning research. A key aspect of the job is mentoring other educators and developing curricula, ensuring continuous learning and growth within the company's expanding ML initiatives. Experience teaching ML in academic or industry settings is preferred.
Must have:
  • Skilled and effective teacher
  • Effective writer and presenter
  • Proficient in writing code
  • Experience teaching ML topics
  • Ability to mentor teachers
Good to have:
  • Experience in machine learning research
  • Familiarity with AI assistants
  • Understanding of ML training stacks

Job Details

About the Position

We’re looking for an experienced and skilled educator to help us teach people at Jane Street about machine learning.

Machine learning is a critical pillar of Jane Street's global business. 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. Our ML team is full of people with a shared love for the craft of software engineering, and for designing APIs and systems that are delightful to use. 

Education is also a big focus for us. We believe that continued learning and exploration will play an essential role in supporting our growth. As Machine learning permeates through every part of our stack, we want to invest more.

The ML Educator will be instrumental in maintaining and growing our ML educational programs and classes, spanning topics such as an introduction to general ML, efficient use of AI assistants, our internal stack for training models, and how to reason about performance. We’re looking for someone who:

  • Is a skilled, effective, and experienced teacher. Part of that means being an effective writer and presenter.
  • Is good at writing code, and is excited to spend a significant fraction of their time doing so as part of our machine learning research. The job requires developing an understanding of our technology stack, and the best way to build that understanding is by doing.
  • Is a great mentor to other budding teachers. Part of the job is going to be teaching and developing curricula. But an equally important part is going to be helping other people involved in teaching to grow their skills.

We’re excited to talk to people who have experience teaching ML topics in a university or an industry setting.

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.

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About The Company

Jane Street is a quantitative trading firm with offices in New York, London, Hong Kong, Singapore, and Amsterdam. We are always recruiting top candidates and we invest heavily in teaching and training. The environment at Jane Street is open, informal, intellectual, and fun. People grow into long careers here because there are always new and interesting problems to solve, systems to build, and theories to test.



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