Lead Machine Learning Engineer - ML Infrastructure

📋 Description

• Set the technical strategy and own end-to-end delivery of the machine learning platform across
• Make architectural decisions across ML infrastructure layers and serve as the primary technical
• Design, launch, and continuously improve ML-powered features while co-owning production outcomes
• Design and operate scalable online and batch inference systems using technologies such as Ray and
• Partner with firmware and edge engineering teams to package, validate, and deploy machine learning
• Build feedback loops between edge deployments and cloud infrastructure to support continuous model

🎯 Requirements

• 10+ years of experience in machine learning engineering, with demonstrated technical leadership
• Proven track record of delivering ML-powered products or features end-to-end, from technical design
• Strong hands-on expertise with Ray and Kubernetes in production environments.
• Strong experience with Spark is highly preferred.
• Deep understanding of machine learning fundamentals beyond pipelines, including evaluation
• Ability to bridge research and engineering teams and translate ML requirements into scalable

🎁 Benefits

• Annual base salary range of $196,000–$269,500 CAD, with actual compensation varying based on
• Eligibility for an initial RSU grant with no vesting cliff, subject to applicable plan terms.
• Ongoing equity refresh opportunities tied to performance, subject to plan terms and conditions.
• Performance-based bonus or variable compensation for eligible roles.
• Flexible, employee-led remote working model.
• Comprehensive health benefits.