Jane Street

Machine Learning Performance Engineer

Jane Street · New York, New York, United States

Posted about 3 months ago

or apply directly on Jane Street's site. We never take the application ourselves.

Is this posting real?

This role has been open
80 days
Jane Street's roles stay open a median of 81 days
Reposted
No
Salary listed
No
0% of Jane Street's roles list one
Ghost-job risk at Jane Street
high
230 stale, 2 reposted of 234 open
Hiring momentum
261 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-23

Measured from postings appearing on and disappearing from Jane Street's own greenhouse board since 2026-08-03. Full hiring picture for Jane Street.

About this role

The Machine Learning Performance Engineer will be responsible for optimizing the performance of machine learning models at Jane Street, focusing on both training and inference. This role involves a whole-systems approach to performance, including low-level GPU knowledge and debugging, as well as ensuring efficient large-scale training and low-latency inference in real-time systems.

Our read on this posting2.0out of 5
benefits
1/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Jane Street as an employer.

What you need

  • Experience in low-level systems programming and optimisation
  • Understanding of modern ML techniques and toolsets
  • Experience and systems knowledge to debug a training run’s performance end to end
  • Low-level GPU knowledge of PTX, SASS, warps, cooperative groups, Tensor Cores and the memory hierarchy
  • Debugging and optimisation experience using tools like CUDA GDB, NSight Systems, NSight Compute
  • Library knowledge of Triton, CUTLASS, CUB, Thrust, cuDNN and cuBLAS

Worth weighing

  • No fixed set of skills listed, which may imply flexibility in candidate backgrounds but also uncertainty in expectations
  • The role is heavily focused on low-level systems and performance optimization, which may not appeal to all ML engineers
  • No salary or benefits information provided

Summarised from Jane Street's posting. Read the full original.

Listed by Jane Street on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

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