Machine Learning Systems Engineer

2 months ago


Toronto ON, Canada CentML Inc. Full time

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
Do you want to help drive the development of high-performance, power-efficient datacenter solutions for Deep Learning? Do you have an interest in how system architecture across GPU, networking, CPU and IO relate to brand new generative AI capabilities? Come join our team, and bring your experience and interests to help us optimize our next generation of inference and training frameworks/frameworks and to redefine the deep learning industry once again.
- Survey and possibly reproduce the state-of-the-art research work; Write unit tests and benchmarks to validate and evaluate our solutions.
2+ years of experience in researching or contributing to ML/DL systems and frameworks (including the time of being a graduate student).
~ 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 records for candidates with bachelor’s degrees. Strong publication records in top ML/DL or computer system and architecture venues for candidates with master or PhD degrees.

Full health and dental benefits
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