Qureos Mentor

Evolve Group

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 ML Performance Engineer &ndash; Low Latency Inference (Trading Environment)
 
 
 
 
 Location
 
 : Chicago / NYC
 
 
 
 Experience
 
 : 3-12 years (exceptional early-career profiles considered)
 
 
 
 
 
 If you&rsquo;re working on ML today, here&rsquo;s the real question:
 
 
 Are you optimising models for leaderboard metrics&hellip;
 
 
 Or for speed under pressure?
 
 
 
 
 
 This role sits inside a trading business where inference latency is measured in nanoseconds. Models don&rsquo;t just need to be accurate; they need to fire first.
 
 
 Firms compete for a few nanoseconds of edge over the market, which can lead to millions in profit.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
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 Optimise GPU-based inference pipelines for real-time decision systems
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 Profile and eliminate bottlenecks across CPU, GPU, and network boundaries
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 Tune memory layout, batching, and concurrency to reduce end-to-end latency
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 Work directly with researchers and traders to productionise models
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 Own performance in live environments where speed directly impacts outcomes
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 </ul>
 
 This is not research-only ML.
 
 
 It&rsquo;s ML under strict performance constraints.
 
 
 
 
 
 
 You&rsquo;ll Fit If
 
 
 <ul>
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 Strong in Python and C++
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 Hands-on with CUDA / GPU optimisation
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 Comfortable profiling at kernel and system level
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 Care about determinism, throughput, and hardware-software interaction
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 Prefer performance problems over product roadmap debates
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 Bachelors degree in a STEM field.
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 </ul>
 
 Finance experience isn&rsquo;t required.
 
 
 
 
 
 What matters is whether shaving off microseconds sounds more interesting than shipping another feature at a big lab.
 
 
 
 
 
 If it does, it's worth a conversation.
 
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Machine Learning Engineer

Join Evolve Group and explore 1   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Evolve Group

About Company

Machine Learning Engineer