Mecka AI
Hardware, Edge ML Engineer
$170K–$190K
Toronto GTA +2 · Hybrid · Full-time · Posted Oct 7, 2026
- Location
- Toronto GTA
New York
San Francisco - Experience
- 5+ years in machine learning or computer vision, including deploying models on embedded or resource-constrained hardware.
About the job
Train and deploy computer-vision models on embedded devices, building efficient inference systems that meet real-world performance constraints.
What you'll do
- Train and evaluate computer-vision models for embedded deployment.
- Build C++ inference pipelines and integrate them with embedded Linux software.
- Optimize and test model performance across latency, memory, power, accuracy, and operating conditions.
What they ask for
- 5+ years of machine-learning or computer-vision experience, including deployment on embedded or resource-constrained hardware.
- Strong Python and C++ skills, including debugging and performance profiling.
- Experience training and evaluating computer-vision models with a framework such as PyTorch.
- Experience developing on embedded Linux and understanding of quantization, model conversion, and inference optimization.
Nice to have
- Experience with accelerator runtimes, custom operators, or camera and video pipelines.
- Experience with dataset curation.
Pay
CA$170K – CA$190K (base salary)
Tools
Python, C++, PyTorch, embedded Linux, CPUs, GPUs, NPUs
AI focus
Develop and deploy computer-vision models for devices used in data capture for robot learning.
Model-written summary · the original posting is authoritative