> Markdown version of [/jobs/ext/2416347-senior-research-engineer-ml-systems](https://www.wearedevelopers.com/jobs/ext/2416347-senior-research-engineer-ml-systems). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Research Engineer - ML Systems

- **Company:** Permute IO LLC
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Salary:** $150,000.0 - $250,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Nvidia CUDA, Python (Programming Language), Machine Learning, Open Source Technology, Tensorflow, Software Engineering, Software Systems, Systems Architecture, Reinforcement Learning, Pytorch, Information Technology, Machine Learning Operations
- **Published:** August 24, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=81befedcbaeaefa0

## About the Role

* Strong background in machine learning research and ML systems
 * Experience building and training models with PyTorch
 * Strong foundation in algorithms, statistics, optimization, and experimental design
 * Strong software engineering and system architecture skills
 * 5+ years building ML or performance-sensitive software systems

Preferred Background

 * Degree in Mathematics, Physics, Computer Science, or a related technical field

Experience with:

 * End-to-end production ML systems
 * Model training, MLOps, evaluation, and deployment
 * Performance engineering, including CUDA, Triton, quantization, or model compilation
 * Transformers, fine-tuning, post-training, or reinforcement learning
 * Meaningful contributions to open-source ML frameworks or model implementations

## Description

* Productionize and optimize our existing learned evidence architecture for structured data
 * Improve training and inference performance, including throughput, latency, memory use, reliability, and cost
 * Port and optimize model training and inference workloads from CPU to GPU
 * Build production systems supporting model training, evaluation, deployment, and inference
 * Develop tooling for experimentation, reproducibility, monitoring, and observability
 * Write clean, maintainable Python and PyTorch systems that integrate with Permute's broader platform
 * Design and evaluate new heads, layers, objectives, and fine-tuning methods
 * Explore new model variants, including transformer-based architectures and reinforcement learning
 * Collaborate with engineering and product teams to deliver model capabilities that power production AI features


## Related Videos

- [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia)
- [Nemotron: NVIDIA's open model strategy for developers](https://www.wearedevelopers.com/videos/100064-nemotron-nvidia-s-open-model-strategy-for-developers)
- [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs)
- [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding)
- [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning)
- [Making neural networks portable with ONNX](https://www.wearedevelopers.com/videos/301-making-neural-networks-portable-with-onnx)

## Related Articles

- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)