Machine Learning Educator

at Jane Street · Quant · New York, NY · Machine Learning

Jane Street is seeking an experienced Machine Learning Educator to develop and maintain their ML educational programs. This role involves teaching general ML, AI assistants, internal training stacks, and performance reasoning. The educator will also write code for ML research, mentor other teachers, and develop curricula. Experience teaching ML in a university or industry setting is required.

What you'd actually do

  1. maintain and growing our ML educational programs and classes
  2. developing an understanding of our technology stack, and the best way to build that understanding is by doing
  3. teaching and developing curricula
  4. helping other people involved in teaching to grow their skills

Skills

Required

  • teaching ML
  • writing code
  • mentoring

Nice to have

  • AI assistants
  • internal ML stack
  • performance reasoning

What the JD emphasized

  • experienced and skilled educator
  • skilled, effective, and experienced teacher
  • effective writer and presenter
  • good at writing code
  • great mentor to other budding teachers
  • experience teaching ML topics in a university or an industry setting

Other signals

  • ML is a critical pillar of Jane Street's global business
  • ML educational programs and classes
  • introduction to general ML
  • efficient use of AI assistants
  • internal stack for training models
  • reason about performance
  • teaching ML topics in a university or an industry setting
Read full job description

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. _