Machine Learning Researcher
Jane Street(12 days ago)
About this role
A Machine Learning Research internship at Jane Street offering a hands-on, educational experience working alongside experienced ML researchers on projects that combine novel ML ideas with real-world systematic trading relevance. Interns will be exposed to large datasets and extensive compute infrastructure while learning the firm’s approaches to markets through classes and collaborative research.
Required Skills
- Machine Learning
- Research
- Python
- ML Frameworks
- Data Analysis
- Modeling
- Mathematical Thinking
- Hyperparameter Tuning
Qualifications
- PhD Student
- Postdoc
- Equivalent Research Experience
About Jane Street
janestreet.comJane Street is a global quantitative trading firm and liquidity provider that combines quantitative research, software engineering, and proprietary trading strategies to trade equities, bonds, options, futures and ETFs across major markets. The firm emphasizes technology-driven, low-latency systems and collaborative problem solving — it’s known for heavy engineering culture (including widespread use of OCaml) and rigorous risk management. Jane Street serves institutional counterparties and runs systematic and market-making operations to provide liquidity. It also recruits strongly from math, physics and computer science backgrounds and offers internships and graduate roles in trading, research, and engineering.
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