About this opportunity
Fintal Partners lists this Machine Learning Performance Engineer opportunity in new york, New York. Review the employer’s description below for duties, qualifications and application requirements.
Job description
A leading global trading firm is hiring a Machine Learning Performance Engineer to work on a flagship AI program. You'll have real influence across ML infrastructure, training and inference, work that feeds directly into the firm's futures trading strategies.
The role
Build robust, scalable training and inference pipelines for deep learning
Work inside the internals of open-source deep learning frameworks and extend what they can do
Hunt down and remove performance bottlenecks
Partner closely with researchers and fellow engineers
Build deep knowledge of how the trading systems work
What's on offer
You'll be part of a collaborative, high-performing culture built around curious thinkers and inventive problem-solvers, tackling some of the hardest challenges in financial markets alongside genuinely strong colleagues.
Colleagues drawn from 40+ nationalities
Highly competitive compensation
401(k) matched up to 50%
Full health, mental health, dental, vision, disability and life cover
25 days' paid leave plus market holidays
Generous office perks — breakfast, lunch and snacks, social events, clubs and sports leagues
What you'll bring
Strong low-level GPU programming in CUDA — Tensor Cores, cooperative groups, graphs, warp-level intrinsics
Deep familiarity with the internals of frameworks such as PyTorch, JAX or TensorFlow
Solid grounding in computer architecture
C++ and Python
The JAX ecosystem (XLA, Flax and similar)
Large-scale distributed training
Open-source contributions in ML or data science
About the firm
A major market maker active on 100+ exchanges worldwide, focused on improving markets by adding liquidity, pricing accurately and increasing transparency in all conditions — with the health and efficiency of those markets a priority for every participant.
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Worksite address
new york, NY, 10261, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.