Engineering Manager, ML Infrastructure & Operations — Forma Generative AI

Position overview

Work arrangement

• The role supports hybrid work near the Toronto, Canada office.
• Travel to team meetings, offsites, and conferences in the USA, Canada, and Europe is required.

Responsibilities

• Lead, grow, and develop the ML engineering team; set priorities, coach engineers, and support increased technical ownership.
• Own infrastructure for large-scale ML training and experimentation.
• Own workflows for moving models from experimentation through product testing and into production.
• Define ML workload architecture and optimization strategies focused on performance, utilization, and cost efficiency.
• Own production operations, including observability, reliability targets, incident response, capacity planning, and continuous improvement.
• Partner with research engineering and platform teams on reusable infrastructure, deployment patterns, and production standards.
• Build model evaluation and release-readiness infrastructure, including regression testing, reproducible evaluation, versioning, lineage, and release gates.

Minimum qualifications

• BS/MS in computer science, engineering, or equivalent practical experience.
• 2+ years of engineering people-management experience, including coaching, priority setting, and technical delivery.
• Experience designing, building, and operating infrastructure for ML training, experimentation, and/or inference at scale.
• Experience operating distributed systems in AWS, Azure, or GCP, including production observability, reliability, and capacity management.
• Strong software engineering, communication, and technical decision-making skills.

Preferred qualifications

• Experience with distributed ML training, GPU workload orchestration, and/or high-performance inference systems.
• Experience building infrastructure for foundation models or other large-scale ML systems.
• Experience in the AEC industry, Autodesk, or AEC data and workflows.
• Evidence of staying current with evolving ML infrastructure technologies and applying new approaches pragmatically.

Compensation

• For Canada-based roles, the stated starting base salary range is CAD 158,000–231,000; offers may exceed the range based on experience and geographic location.
• Compensation may also include annual cash bonuses, stock grants, and benefits; commissions are noted for sales roles.

Additional information