Machine Learning Performance Engineer
New Yorkonsitemid
via Greenhouse
About this role
Optiver is a seeking a Machine Learning Performance Engineer to join our team, focusing on a pivotal AI initiative. This role would offer the opportunity to have significant impact across Machine Learning infrastructure, training, and inference challenges to advance our futures trading strategies.
What you'll do:
Build scalable and robust training and inference pipelines for deep learning
Dive into internals of open-source deep learning frameworks and enhance their functionality
Identify and eliminate performance bottlenecks
Collaborate closely with researchers and other engineers
Develop an in-depth understanding of trading systems
What you’ll get:
You’ll join a culture of collaboration and excellence, surrounded by curious thinkers and creative problem-solvers.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, c++, pytorch, tensorflow, jax
2
Level fit
This role is mid-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in New York. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonc++pytorchtensorflowjax
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