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About the Role
We are seeking an experienced educator to teach machine learning at Jane Street. This role is crucial for maintaining and growing our ML educational programs, covering topics from general ML introductions to our internal training stack and performance analysis.
Responsibilities
- Maintain and grow ML educational programs and classes.
- Teach topics including general ML, efficient use of AI assistants, internal ML training stack, and performance reasoning.
- Write code and spend a significant fraction of time doing so as part of machine learning research.
- Develop an understanding of the technology stack by hands-on coding.
- Mentor other budding teachers and help them grow their skills.
- Teach and develop curricula.
Requirements
- Skilled, effective, and experienced teacher.
- Effective writer and presenter.
- Good at writing code.
- Excited to spend a significant fraction of time writing code as part of machine learning research.
- Able to develop an understanding of the technology stack.
- Great mentor to other budding teachers.
- Experience teaching ML topics in a university or industry setting.
Skills
- Machine Learning
- Teaching
- Coding
- API Design
- Systems Design
- Mentoring
- Curriculum Development
- Technical Writing
- Presentation Skills
Experience Level
- Experienced educator
About the Company
- Jane Street's ever-evolving trading environment serves as a unique, rapid-feedback platform for ML experimentation.
- Our ML team consists of individuals passionate about software engineering and creating delightful APIs and systems.
- Education is a significant focus, supporting growth through continuous learning and exploration.
- Machine learning is a critical pillar of Jane Street's global business.