TI
Senior Embedded ML Runtime Engineer, Low-Power AI
The Institute for Performance and Learning
Toronto · On-site Full-time Senior CA$114k – CA$164k/yr Today
About the role
About
An innovative technology company is seeking a Machine Learning Engineer in Toronto to enhance AI model deployment on low-power accelerators.
Responsibilities
- This role involves designing core components of machine learning frameworks and optimizing system performance.
Requirements
- Ideal candidates should possess strong skills in C/C++ programming and embedded systems, with knowledge of machine learning frameworks like TensorFlow.
Compensation
- A competitive salary range of $114,400 - $164,400 is offered alongside attractive benefits.
Reference
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Requirements
- Strong skills in C/C++ programming
- Embedded systems knowledge
- Knowledge of machine learning frameworks like TensorFlow
Responsibilities
- Designing core components of machine learning frameworks
- Optimizing system performance
Skills
C++Embedded SystemsMachine LearningTensorFlow
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