JOB POSTING INFORMATION
Position Type:	Professional Experience Year Co-op (PEY Co-op: 12-16 months)
Job Title:	Machine Learning Engineering Intern - PEY
Job Location:	Toronto, ON or Boston, MA (USA)
Job Location Type:	On-Site
If working on site, can you provide a copy of your COVID-19 safety protocols?:	Yes
Number of Positions:	3
Salary:	Salary Not Available, 40.0 hours per week
Start Date:	05/06/2024
End Date:	09/26/2025
Job Function:	Engineering
Job Description:	Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is looking for a Machine Learning Engineer Intern to support our growing customer base as they build Deep Learning models on Tenstorrent hardware.  If you're enthusiastic about Machine Learning, are a competent software engineer, and enjoy working with other people, this is your opportunity to be at the bleeding edge of AI processing.  You'll get exposure to a broad array of problem types from different industries and be at the forefront of our customer engagements. Responsibilities 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 analysis 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 & efficiency improvements
Job Requirements:	Qualifications Student in Electrical/Computer Engineering, Computer Science, Machine Intelligence, Engineering Science, or Math Experience with algorithms, data structures, and software development in Python and C/C++. Deep knowledge of math, probability, statistics and algorithms Experience in solving problems with Machine Learning models Familiarity with and passion for any of the following -- machine learning, compilers, parallel programming, high-performance and massively parallel systems, processor and computer architecture -- is a plus
Preferred Disciplines:	Computer Engineering Computer Science Electrical Engineering Engineering Science (Electrical and Computer) Engineering Science (Machine Intelligence)
All Co-op programs:	No
Targeted Co-op Programs:	Targeted Programs Professional Experience Year Co-op (12 - 16 months)

APPLICATION INFORMATION
Application Deadline:	Nov 1, 2023 11:59 PM
Application Receipt Procedure:	Employer Website
If by Website, go to:	https://jobs.lever.co/tenstorrent/e34149cf-5f36-4dfa-9364-ed47be7d1536
Additional Application Information:	Please provide a copy of your unofficial transcripts as part of your application.  We are available to assist with J1 Visa sponsorship to enable your PEY in the US.  Note from your PEY Co-op Coordinator:  Past and current PEY co-op students have shared over-all positve feedback about this company. Lots of challenges ; lots of learning; excellent mentors. Don't miss! If applying to this role please select "I intend to apply" before heading to the organizations website.
U of T Job Coordinator:	Ryan Hand

ORGANIZATION INFORMATION
Organization:	Tenstorrent Inc
Division:	Toronto

ADDITIONAL INFORMATION
Length of Workterm:	FLEXIBLE PEY Co-op: 12-16 months (range)