Machine Learning Engineer, Tenstorrent

ML Models

$100-500k

OTE

Python

PyTorch

Junior, Mid and Senior level

Toronto

More information about location

Building computers for AI

Job no longer available

Building computers for AI

501-1000 employees

B2BArtificial IntelligenceEnterpriseManufacturingDeep TechMachine Learning

Job no longer available

$100-500k

OTE

Python

PyTorch

Junior, Mid and Senior level

Toronto

More information about location

501-1000 employees

B2BArtificial IntelligenceEnterpriseManufacturingDeep TechMachine Learning

Company mission

To bring unique solutions to the problems facing AI and machine learning.

Job

Company

Role

Who you are

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
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, enabling optimization of both individual components and their interactions
Easy to work with and excited to collaborate across software and hardware teams
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, sparsity, and attention—as well as hardware features such as matrix engines and memory hierarchies
A curiosity-driven mindset that stays current with ML research and brings practical insights to real-world engineering challenges

What the job involves

As a Machine Learning Engineer on the AI Models team at Tenstorrent, 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
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

Our take

Advances in artificial intelligence apps, combined with a global chip shortage, are strong tailwinds for chip processor Tenstorrent. The semi-conducter developer is designing specialized chips for running artificial intelligence applications, building chips for what it calls "software 2.0".

The company’s unique approach is to build for this future software, which it believes will be written at a higher level. Combining this with conditional computing, Tenstorrent supports a scalable distributed network approach that is analogous to a human brain.

While the market for specialised AI hardware is destined to be gigantic, the company has to compete with a plethora of hopeful startups (as well as major tech companies like NVIDIA and Qualcomm). That said, Tenstorrent boasts an excellent trajectory so far, with its latest moves including unveiling its high-end Wormhole AI processors, and a partnership with LG which will see the development of chips for "Affectionate Intelligence".

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

52% employee growth in 12 months

Glassdoor (4.5)

Company

Funding (last 2 of 7 rounds)

Dec 2024

$700m

SERIES D

Jun 2024

$300m

LATE VC

Total funding: $1.3bn

Company HQ

Flemingdon Park, Toronto, ON

Leadership

Jim Keller

(CEO)

Previously Senior VP of Silicon Engineering at Intel Corporation, VP of Autopilot Hardware Engineering at Tesla, Corporate VP and Chief Architect at AMD, and VP of Engineering at Apple.

Milos Trajkovic

(Co-Founder & Director of Hardware Engineering)

Former Manager of Firmware Design Engineering at AMD, and FPGA design engineer at Signum Concepts.

Ivan Hamer

(Co-Founder)

Former Consulting Software/Embedded Engineer at AMD, and Senior Software Developer at iNTERFACEWARE.

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