Jane Street’s AI job is more rewarding than a $300,000 salary

Machine Learning


Jane Street, an electronic trading company with many pies, likes to hire machine learning engineers and AI researchers. And I’m sure they’ll want to work at Jane Street, too.

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It’s not just the salary. Salaries alone for machine learning engineers and researchers in New York are predictably high at $300,000. This is also a computing capability that Jane Street has in abundance.

In AI terminology, computing (“computing power”) refers to both the hardware and the infrastructure, such as GPUs, that enable a system to perform calculations. Business Insider reported last month that access to computing has become a key consideration for AI engineers when choosing workwear. On Jane Street, this indicator is abundant. And they will become richer.

A year ago, we suggested that Jane Street might have 5,000 GPUs. Since then, things seem to be improving little by little. There is currently a vacancy for a machine learning researcher, but Jane Street has “tens of thousands” of high-end GPUs and a “rapidly growing compute cluster,” Jane Street said.

Jane Street’s cluster includes access to NVIDIA’s next-generation Vera Rubin technology. The company secured access to Coreweave, an AI-native cloud computing platform, after investing $1 billion last month and spending another $6 billion to gain access to Coreweave’s services. Jane Street is also an investor in Anthropic, the creator of Claude, and while the electronic trading company wasn’t among the places lucky enough to test Claude Opus 4.7 last week (Balyasny appears to be the only financial services company to receive this benefit), there’s no way they’re unaware of the new model.

For AI engineers interested in this kind of thing, Jane Street’s computing level is growing, putting it among the market leaders. XTX Markets also likes to brag about its GPUs, with current job postings showing 25,000 GPUs and 650 petabytes of usable storage.

Like Jane Street, XTX is working to secure the future of computing. Last year, XTX announced it would build five $1 billion data centers in Finland. It is scheduled to be completed in 2026.

XTX also has good pay. And there’s a fake spaceship in the London office. Both are important, but GPUs may be more important today.

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