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# Machine Learning Performance Engineer in Mundelein

- **Company:** Energy Jobline
- **Location:** Mundelein, IL, United States
- **Experience:** Experienced
- **Salary:** $200,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), C++ (Programming Language), Field-Programmable Gate Array (FPGA), Python (Programming Language), Machine Learning, Pytorch, Deep Learning, Low Latency
- **Published:** October 31, 2026
- **Apply:** https://www.energyjobline.com/job/machine-learning-performance-engineer-mundelein-32121890

## About the Role

* 2+ years improving deep learning inference performance in production environments where speed or throughput is critical
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 * Strong Python and C++, with experience working beneath the high-level APIs of frameworks such as PyTorch or JAX
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 * Practical experience developing custom GPU kernels and using inference optimization tools
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 * Detailed knowledge of GPU execution, memory behavior, and mixed-precision computation
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 * A measurement-driven approach to profiling systems and comparing performance across different hardware architectures
\n, * Experience deploying or optimizing models on FPGAs or ASICs
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 * Familiarity with inference workloads where individual predictions must be delivered with exceptionally low latency

## Description

Goliath is partnered with an established quantitative trading firm seeking an engineer to improve the performance of machine learning models in production.