Sr. Machine Learning Engineer, ML Models

Tenstorrent$100K — $500K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Python programming proficiency with hands-on PyTorch experience for developing deep learning models.
  • Curiosity-driven mindset focused on understanding and improving complex systems.
  • Deep understanding of ML model architectures for optimizing components and interactions.
  • Experience leading small engineering teams and collaborating with cross-functional teams.
  • Hands-on experience deploying modern ML models on new hardware.

Responsibilities

  • Lead the optimization and deployment of cutting-edge AI models on custom hardware devices.
  • Experiment with various modeling techniques to solve real-world problems.
  • Investigate and troubleshoot performance issues to enhance model accuracy.
  • Collaborate with compiler, kernel, and hardware teams for performance optimizations.
  • Stay current with ML research to infuse practical insights into engineering challenges.

Benefits

  • Highly competitive compensation package and benefits.
  • Flexible hybrid work environment with options for remote work.
  • Opportunities for collaboration with cross-functional teams.
  • Engaging work culture that values curiosity and problem-solving.
Full Job Description


As a Senior Machine Learning Engineer on the ML Models team at Tenstorrent, you'll take the lead in bringing up and optimizing 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 the craft of ML and want to work on models that are used in real world applications, you'll feel right at home.

This role is hybrid, based out of Toronto, ON, with the opportunity to be remote on a candidate-by-candidate basis.

Who You Are
  • Confident with Python programming and hands-on experience with PyTorch for developing deep learning models.
  • Driven by curiosity and a desire to experiment, always seeking to understand how complex systems work and how to make them better.
  • Possess a deep understanding of ML model architectures, with the ability to optimize both individual components and overall model performance.
  • Comfortable leading a small group of engineers and working closely with cross-functional teams.


What We Need
  • Hands-on experience bringing up state-of-the-art ML models on new hardware platforms.
  • Strong debugging instincts to investigate performance issues, tune architectures, and boost model accuracy and robustness.
  • Working knowledge of model optimization techniques, like quantization, flash attention, kernel fusing, and multi-device parallelization.
  • A curiosity-driven mindset that stays current with ML research and brings practical insights to real-world engineering challenges.


What You Will Learn
  • How to get real ML models to fly on a custom AI accelerator
  • Ways to optimize ML model performance, from application to silicon level.
  • What it takes to go from research paper to production ready ML deployment
  • How to work alongside compiler, kernel, and hardware teams to drive new features, performance optimizations, and fixes.


Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits.

About Tenstorrent

Tenstorrent is a semiconductor company that designs and develops computer processors for artificial intelligence and machine learning applications. The company's processors are designed to be energy-efficient and scalable, and are used by a range of businesses, from small startups to large enterprises. Tenstorrent was founded in 2016 and is headquartered in Toronto, Ontario.
Learn more about Tenstorrent
Size
51 employees
Industry
Founded
2016

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