Staff Machine Learning Engineer - Edge AI

Overview

Lead machine learning engineering for AI product initiatives on edge devices, working with large-scale operational data and cross-functional engineering teams.

What you'll do

• Lead design and implementation of AI product initiatives on edge devices.
• Develop tactical AI solutions and longer-term research.
• Work with petabyte-scale text, transaction, diagnostic, sensor, camera, and location data.
• Partner across business units to prototype AI experiences.
• Optimize machine learning model performance on edge devices.
• Adopt relevant advances from industry and academic research.

What you'll need

• 8+ years of experience as a Machine Learning Engineer.
• Extensive experience optimizing ML models and systems for edge computing constraints.
• Programming experience in Python or a similar language.
• Programming experience in C++ or Rust.
• Experience shipping production code at large scale.
• Experience coaching and mentoring ML Engineers.
• Ability to define clear problems from ambiguous customer and business requirements.

Nice to have

• Experience serving data for experiments and model training at scale.
• Successful high-impact AI deliveries.
• Deep knowledge of state-of-the-art computer vision and multimodal models.

Details

• Remote position for candidates residing in Canada.
• Travel up to 5% of the time.
• Annual base salary: CAD 170,400–234,300.