Degree in Business Informatics
Business Process Management (BPM), Infrastructure as code, Large data sets, Machine learning techniques, Optimization, Software Testing
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:
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.
Jane Street, also known as Jane Street Capital, is a proprietary trading firm with a global presence. The company currently has over 2,000 employees spread across five offices worldwide, including New York, London, Hong Kong, Amsterdam, and Singapore. With a vast trading network spanning 45 countries and over 200 venues, Jane Street trades a diverse range of asset classes.