Jane Street
Machine Learning Engineer
Eligibility
- Currently enrolled student at undergraduate or PhD level
- Practical experience in ML model training, libraries, or workflow optimization
Machine Learning Engineer internship providing real-world ML project experience in finance, mentorship by full-time engineers, and access to advanced GPU clusters for ML experimentation.
Responsibilities
- Work on real ML projects with mentorship from full-time employees
- Participate in classes and activities focused on ML applications in finance
- Gain understanding of applying ML to noisy financial data
- Collaborate closely with team members on new and ongoing projects
Requirements
- Undergraduate or PhD student with practical ML experience
- Strong programming skills
- Curious, collaborative, eager to learn
- Humble and open to feedback
Skills
- Machine learning
- Programming
- Collaboration
- Problem solving
- Employer posted
- Last checked