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Machine Learning Performance Engineer

Fintalpartners — United States · Posted ~3 hours ago

Skills

machine learning deep learning ML infrastructure training pipelines inference pipelines performance optimization open-source deep learning frameworks software engineering

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Summary ✨ AI‑Generated

Join a high-performance engineering team building robust machine learning training and inference infrastructure. You will optimize deep learning workloads, work inside open-source framework internals, identify performance bottlenecks, and collaborate closely with researchers and engineers. The position combines advanced ML systems work with demanding performance engineering.

Highlights

Work on high-impact machine learning infrastructure, training, inference, and performance optimization in a collaborative environment. The role offers exposure to deep learning framework internals, challenging technical problems, strong colleagues, competitive compensation, profit sharing, performance bonuses, and retirement matching.

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 learningWork inside the internals of open-source deep learning frameworks and extend what they can doHunt down and remove performance bottlenecksPartner closely with researchers and fellow engineersBuild 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+ nationalitiesHighly competitive compensationFirm-wide profit share plus performance-linked bonus401(k) matched up to 50%Full health, mental health, dental, vision, disability and life cover25 days' paid leave plus market holidaysGenerous 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 intrinsicsDeep familiarity with the internals of frameworks such as PyTorch, JAX or TensorFlowSolid grounding in computer architectureC++ and Python Bonus points for The JAX ecosystem (XLA, Flax and similar)GPU tooling — Triton, CUB, cuDNN, cuBLASLinux systems programmingLarge-scale distributed trainingOpen-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.