ML Research Intern: Real-World Trading Model Exploration

CHEManager International; New York (NY); On-site; USD 12,000 - 18,000; Part time

Job summary

Jane Street offers an ML Researcher internship designed to immerse you in practical machine learning within a trading context. You will work alongside senior ML researchers on carefully chosen projects that blend novel ML ideas with real-world trading relevance.

The role provides access to vast data, a large compute cluster, and opportunities to learn through structured classes while applying established methods with unique twists.

Qualifications

• Undergraduate, PhD student or postdoc with practical ML problems experience.
• Curious about applying logical and mathematical thinking to various problems.
• Interested in state-of-the-art ML techniques across domains.
• Fluent with a versatile set of models and tricks.
• Able to rapidly implement and iterate ideas in Python and ML frameworks.
• Eager to ask questions, admit mistakes, and learn new things.

Responsibilities

• Collaborate closely with full-time ML researchers on real research projects.
• Explore end-to-end analyses of datasets and model developments.
• Experiment with new modeling paradigms and blue-sky ideas.
• Tune hyperparameters and debug training processes.
• Analyze predictions and learn from results.

Skills

ML problems experience

Logical and mathematical thinking

Curiosity about ML landscape

Versatile models and tricks

Python and ML frameworks

Questioning and learning mindset

Education

Undergraduate student

PhD student

Postdoc

Job description

Jane Street offers an ML Researcher internship designed to immerse you in practical machine learning within a trading context. You will work alongside senior ML researchers on carefully chosen projects that blend novel ML ideas with real-world trading relevance.

The role provides access to vast data, a large compute cluster, and opportunities to learn through structured classes while applying established methods with unique twists.