JOB POSTING INFORMATION
Position Type:	Professional Experience Year Co-op (PEY Co-op: 12-16 months)
Job Title:	Machine Learning Systems Engineering Intern
Job Location:	Toronto, Ontario
Job Location Type:	On-Site
If working on site, can you provide a copy of your COVID-19 safety protocols?:	No
Number of Positions:	1
Salary:	$0.00 hourly for 40.0 hours per week
Start Date:	05/06/2024
End Date:	08/29/2025
Job Function:	Engineering
Job Description:	About Us We are a small team with a big ambition of making modern machine learning accessible for everyone. At CentML, our mission is to enable anyone with an idea to deploy ML models without breaking the bank. We believe that modern AI will fundamentally transform how people work and live and we're here to help bring that future sooner. Our founding team is made up of experts in AI, compilers and ML hardware and has led efforts at companies like Amazon, Google, Microsoft Research, Nvidia, Intel, Qualcomm, and IBM. Our co-founder and CEO, Gennady Pekhimenko, is a world-renowned expert in ML systems with a publication history of top papers and multiple academic and industry research awards from Google, Amazon, and Facebook. As a Machine Learning Systems Engineer, you will * Communicate with our product teams and profile ML/DL workloads to acquire an in-depth understanding of the problems. * Design and implement novel solutions to solve the problems. * Survey and possibly reproduce the state-of-the-art research work; analyze and evaluate if the ideas from the research work could be applied to our solutions. * Write unit tests and benchmarks to validate and evaluate our solutions.
Job Requirements:	You may be a good fit if you have: * Experience working with ML/DL systems and frameworks * Excellent communication skills and the ability to work in a team. * Strong coding skills (in at least one of Python and C++). * Solid fundamentals in machine learning and deep learning topics. * Solid fundamentals in other computer science and computer engineering topics: algorithms and data structures, operating systems, computer architecture, etc. * Strong academic record * Bonus points for experience with GPU architecture and programming: CUDA and its related libraries and toolkits (e.g., cuDNN, cuBLAS, CUTLASS, nvprof, Nsight Compute, Nsight Systems, etc.); ROCm and its related libraries and toolkits. * Bonus points for experience with TPU
Preferred Disciplines:	Computer Engineering Computer Science Electrical Engineering Engineering Science (Electrical and Computer) Engineering Science (Machine Intelligence) Engineering Science (Robotics) Data Science
All Co-op programs:	No
Targeted Co-op Programs:	Targeted Programs Professional Experience Year Co-op (12 - 16 months)

APPLICATION INFORMATION
Application Deadline:	Oct 2, 2023 11:59 PM
Application Receipt Procedure:	Online via system
Additional Application Information:	Please include UofT transcripts along with the application.
U of T Job Coordinator:	Yasmine Abdelhady

ORGANIZATION INFORMATION
Organization:	CentML Inc
Division:	Main Office
Website:	https://centml.ai

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