Machine Learning Engineer

Key Skills

Experimentation, Large data sets, Machine learning techniques

Job Description

About the Position

Machine learning is a critical pillar of Jane Street's global business, and our ever-changing trading environment serves as a unique, rapid-feedback platform for ML experimentation.

Our ML Engineers develop the infrastructure that makes all of that possible. The work is wide-ranging, including things like:

• Developing libraries for automating ML workflows and experiment evaluation, and helping us evaluate and onboard existing open-source tools
• Digging in to the internals of open-source ML tools to extend their capabilities and fix fundamental bugs
• Optimizing our systems to match the needs of our trading systems, whether that be for efficient training or low-latency inference
• Building tools to train and evaluate models in parallel over large datasets

And much more besides. As an ML Engineer, you’ll help drive the direction of an ML platform that is used daily by traders and researchers across every corner of the firm.

We’re looking for accomplished and disciplined software engineers with deep experience in machine learning techniques and the software systems that power them. A good candidate will be curious, with a wide-ranging understanding of the open-source ML ecosystem, and an interest in the latest advances in ML, in both academic and industrial contexts.

Base salary is $250,000 - $300,000. Base salary is only one part of Jane Street total compensation, which includes an annual discretionary bonus.

Jane Street is an Equal Opportunity Employer