Machine Learning Educator

Janestreet; New York (NY); On-site; USD 100,000 - 140,000; Full time

Job summary

Janestreet is seeking a skilled ML Educator to teach and maintain its machine learning educational programs. The role involves developing curricula on topics such as ML fundamentals and efficient AI usage.

As part of a passionate ML team, the educator will mentor budding teachers and engage with a dynamic trading environment that fosters ML experimentation. Ideal candidates have teaching experience in ML and a strong grasp of coding.

Qualifications

• Experience in teaching machine learning topics in a university or industry setting.
• Ability to develop curricula and teach others effectively.

Responsibilities

• Teach and maintain ML educational programs and classes.
• Develop curricula on various ML topics.
• Mentor other teachers in building their skills.

Skills

Skilled teaching

Effective writing

Code writing

Mentorship

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.