Machine Learning Engineer, Tenstorrent

$100-500k

OTE

Python

Tensorflow

C++

PyTorch

Junior, Mid and Senior level

Remote from US

Next-generation computing company building computers for AI

Job no longer available

Next-generation computing company building computers for AI

1001+ employees

B2BArtificial IntelligenceEnterpriseManufacturingDeep TechMachine Learning

Job no longer available

$100-500k

OTE

Python

Tensorflow

C++

PyTorch

Junior, Mid and Senior level

Remote from US

1001+ 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

Bachelor’s degree in Science, Technology, Engineering or related field
18 months of experience in job offered or related field
Experience in machine learning techniques; expertise in training reinforcement learning agents using Pytorch/Tensorflow; using C++, Python and real time system optimization

What the job involves

Tenstorrent USA, Inc seeks Engineer, Machine Learning
This position is fully remote, applicant can live anywhere in the US
Designing and developing demonstration machine learning and deep learning systems
Model benchmarking
Running machine learning tests and experiments on behalf of customers
Implementing appropriate ML algorithms; Select appropriate datasets and data representation methods
Run machine learning tests and experiments
Perform statistical analyses and fine-tuning using test results
Train and retrain systems when necessary
Extend existing ML libraries and frameworks
Develop novel ML models and primitives that take advantage of Tenstorrent’s breakthrough architecture to deliver orders of magnitude performance and efficiency improvements

Our take

Tenstorrent is a US- and Canada-based semiconductor startup specializing in processors for AI workloads. Rather than building gneral-purpose CPUs or GPus, the company develops custom chips and sofrware optimized for running moder AI models. As demand for AI accelerates, and as a global chip shortage reshapes the semiconductor industry, these trends have become strong tailwinds for Tenstorrent.

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 specialized 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

$693m

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.

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