ML Infra & Ops Eng Manager (Hybrid Toronto)

Autodesk; Toronto; Hybrid; CAD 158,000 - 231,000; Full time

Job summary

Autodesk is transforming the AEC industry by integrating AI and ML across AutoCAD, Revit, and Forma. As the Engineering Manager for ML Infrastructure & Operations in Forma Generative AI, you will lead the team responsible for ML lifecycle systems—from training and experimentation to deployment, inference, and production operations.

You will set technical direction for scalable, reliable, and cost-efficient ML platforms and collaborate with researchers, product teams, and platform groups to drive

Qualifications

• 2+ years of engineering people-management experience, including coaching engineers, setting priorities, and driving technical delivery.
• Experience designing, building, and operating infrastructure for ML training, experimentation, and/or inference at scale.
• Experience designing and operating distributed systems in a major cloud environment (AWS, Azure, or GCP), including production observability, reliability, and capacity management.
• Strong software engineering, communication, and technical decision-making skills.

Responsibilities

• Lead, grow, and develop a team of ML engineers responsible for shared ML infrastructure and operations.
• Own the infrastructure for large-scale ML training and experimentation, enabling researchers and ML engineers to run, scale, reproduce, and iterate on experiments efficiently.
• Own the infrastructure and workflows that move models from experimentation through product testing and production, enabling fast, safe, and reproducible deployment of new model versions.
• Define the architecture and optimization strategy for ML workloads as model size, data volume, compute requirements, and experiment velocity grow, with a focus on performance, utilization, and cost-efficiency.
• Own the operational health of shared ML systems in production, including observability, reliability targets, incident response, capacity planning, and continuous improvement.
• Partner with research engineering and platform teams to establish reusable infrastructure, deployment patterns, and production standards for ML systems.
• Build the infrastructure supporting model evaluation and release readiness, including automated regression testing, reproducible evaluation pipelines, versioning, lineage, and release gates.

Skills

People management

ML infrastructure

Cloud infrastructure

Observability & reliability

Education

BS/MS in Computer Science, Engineering, or equivalent practical experience

Tools

AWS

Azure

GCP

Job description

Autodesk is transforming the AEC industry by integrating AI and ML across AutoCAD, Revit, and Forma. As the Engineering Manager for ML Infrastructure & Operations in Forma Generative AI, you will lead the team responsible for ML lifecycle systems—from training and experimentation to deployment, inference, and production operations.

You will set technical direction for scalable, reliable, and cost-efficient ML platforms and collaborate with researchers, product teams, and platform groups to drive