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Machine Learning Engineer - AI Models
  • Warsaw
Machine Learning Engineer - AI Models
Warszawa, Warsaw, Masovian Voivodeship, Polska
Tenstorrent
13. 11. 2025
Informacje o stanowisku

Overview

Machine Learning Engineer - AI Models role at Tenstorrent. This is a hybrid role based out of Warsaw or Gdansk, Poland. Remote candidates are considered on a case-by-case basis. Tenstorrent is building high-performance AI platforms and seeks contributors of all seniorities who value collaboration and solving hard problems.

As a Machine Learning Engineer on the AI Models team, you’ll bring up and optimize cutting edge AI models to run on our custom AI devices. You’ll experiment, optimize, and push boundaries while solving real world problems. If you love ML and want to work on models that are used in real world applications, you’ll feel right at home.

During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Responsibilities

  • Bring up state-of-the-art ML models on new hardware platforms.
  • Analyze performance bottlenecks, fine-tune architectures, and improve model accuracy and robustness.
  • Understand and apply model optimization techniques (quantization, sparsity, attention) and leverage hardware features like matrix engines, caches, and memory hierarchies.
  • Collaborate across software and hardware teams to translate ML insights into practical improvements.

What We Need

  • Experience bringing up state-of-the-art ML models on new hardware platforms.
  • Ability to analyze performance bottlenecks, fine-tune architectures, and improve model accuracy and robustness.
  • Familiarity with model optimization techniques (quantization, sparsity, attention) and hardware concepts such as matrix engines, caches, and memory hierarchies.
  • Strong grasp of current ML research and the ability to translate insights into practical improvements.

What You Will Learn

  • How to get real ML models to run efficiently on a custom AI accelerator.
  • Techniques to optimize ML model performance from application to silicon level.
  • From research paper to production-ready ML deployment.
  • How to work with compiler, kernel, and hardware teams to drive features, performance optimizations, and fixes.

Details

  • Seniority level: Entry level
  • Employment type: Full-time
  • Job function: Engineering and Information Technology
  • Industry: Computer Hardware Manufacturing

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

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