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# Machine Learning Research Engineer (LLMs & AI Systems)

- **Company:** Tenstorrent Usa, Inc.
- **Location:** Boston, MA, United States
- **Experience:** Experienced
- **Salary:** $100,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Distributed Computing Environment, Python (Programming Language), Machine Learning, Pytorch, Large Language Models, Deep Learning, Machine Learning Operations
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/machine-learning-research-engineer-llms-ai-systems-tenstorrent-company-8293292

## About the Role

* Strong Python and PyTorch experience developing and training deep learning models.
 * Deep understanding of ML architectures, LLM training, and inference optimization.
 * Hands-on experience training large-scale machine learning models.
 * 4+ years of industry and/or academic experience in ML research and LLM development.
 * PhD, published research, or experience with speculative decoding is highly valued.

## Description

* Lead research and development efforts focused on LLM training and inference optimization.
 * Train, evaluate, and optimize state-of-the-art AI models on Tenstorrent hardware.
 * Improve performance through techniques such as speculative decoding, quantization, kernel fusion, flash attention, and distributed training.
 * Investigate system bottlenecks and collaborate cross-functionally to drive performance improvements.
 * Translate cutting-edge ML research into scalable, production-ready solutions.

What You Will Learn

 * How to optimize AI models on custom AI accelerators from application to silicon.
 * How large-scale ML systems are deployed, tuned, and scaled in production.
 * How hardware, compiler, kernel, and ML teams collaborate to maximize performance.
 * The challenges and tradeoffs of scaling modern AI workloads across custom hardware.


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- [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)
- [Adding knowledge to open-source LLMs](https://www.wearedevelopers.com/videos/1522-adding-knowledge-to-open-source-llms)
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