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Machine Learning Researcher at Jane Street - ApplyBlast

Machine Learning Researcher

Jane Street

4 months ago

4.2 on Glassdoor

Remote

Full Time

Senior

0 applicants

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About this role

A Machine Learning Engineer at Jane Street builds deep learning models for high-frequency trading strategies using large GPU clusters. The role involves applying novel techniques to nonstationary datasets in a competitive multi-agent environment while collaborating closely with research engineers and traders. Responsibilities include tuning hyperparameters, debugging distributed training, and training models for next-generation trading algorithms.

Responsibilities

Build and train deep learning models for trading strategies
Debug and optimize distributed training performance on GPU clusters
Apply novel ML techniques to nonstationary market datasets
Collaborate with traders and researchers to architect systems
Present findings at internal team meetings and conferences

Skills

Qualifications

BS in Computer Science or Related FieldMaster's or PhD in Machine LearningExperience with PyTorch or TensorFlow

About Jane Street

janestreet.com

Headquarters

New York, New York, United States

Company Size

1001-5000 employees

Founded

2000

View Profile

Jane 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.