Edge AI ML Lead — Hardware‑Aware On‑Device Inference

Blumind; Vaughan; Hybrid; CAD 140,000 - 210,000; Full time

Job summary

A deep-tech startup located in Canada is seeking a seasoned Machine Learning Lead to drive the technical strategy for optimizing and deploying next-generation neural networks. The ideal candidate will have over 6 years of experience in machine learning and demonstrate strong leadership in a collaborative setting. You will work on cutting-edge AI technologies in a hybrid role, focusing on model optimization techniques and bridging the gap between advanced architectures and hardware constraints.

Qualifications

• 6+ years in machine learning with 2 years in a lead role.
• Expert-level knowledge of deep learning architectures.
• Strong proficiency in Python and ML frameworks.

Responsibilities

• Define and execute the roadmap for ML model support.
• Lead the implementation of optimization techniques.
• Serve as the primary ML expert for hardware discussions.
• Help recruit and mentor a high-performing team.
• Collaborate on ML tools requirements.
• Establish benchmarking pipelines for model performance.

Skills

Deep Learning Expertise

Model Optimization

Core ML Skills

Leadership

Education

Master's or Ph.D. in Computer Science or Electrical Engineering

Tools

Python

PyTorch

TensorFlow

Job description

A deep-tech startup located in Canada is seeking a seasoned Machine Learning Lead to drive the technical strategy for optimizing and deploying next-generation neural networks. The ideal candidate will have over 6 years of experience in machine learning and demonstrate strong leadership in a collaborative setting. You will work on cutting-edge AI technologies in a hybrid role, focusing on model optimization techniques and bridging the gap between advanced architectures and hardware constraints.