We are hiring a Senior Machine Learning Engineer Scientist to lead the development of scalable graph‐based and transformer‐based modeling systems, along with production‐grade ML pipelines. This role sits at the intersection of research and systems engineering and will help shape the next generation of relational foundation model for structured data. You will own key architecture decisions, mentor engineers and researchers, and build high‐performance ML systems that operate reliably at scale.

Technical Leadership

Architect and drive the scalable development of foundation models for relational and graph data. Design high‐performance data pipelines for large‐scale graph, relational, and tabular datasets. Establish best practices for experimentation, reproducibility, evaluation, and deployment.

Define and execute the technical roadmap for ML infrastructure and modeling frameworks. Geometric ML Knowledge Develop and optimize Graph Neural Networks (GNNs), Graph Transformers, and Relational Transformers. Apply self‐supervised, contrastive, and related pre‐training strategies for structured data.

Build and operate distributed training and inference pipelines with solid software design and architecture strategy. Optimize compute efficiency (GPU/CPU utilization), memory footprint, training throughput, and inference latency. Apply or evaluate techniques such as pruning, quantization, architecture search, and model compilation as needed.

Partner with platform teams to ensure smooth deployment, monitoring, and reliability in production.



Mentor ML engineers and applied scientists; raise the team's technical bar through guidance and review. Collaborate closely with research, data, and product stakeholders to drive delivery and impact.

PhD or MS in Computer Science, Machine Learning, Applied Mathematics, Physics, or a related field, with substantial applied experience. ~5+ years building and delivering ML systems end‐to‐end. ~ Experience designing and developing distributed systems and scalable ML infrastructure. ~ Advanced Python proficiency and robust software engineering fundamentals. ~ Demonstrated ownership of complex ML projects from design through production. ~ Experience scaling ML systems in cloud environments (e.g., Azure, AWS).

Experience building foundation models for structured, relational, or graph data.

Experience with distributed training frameworks (e.g., Publications in top‐tier ML venues (e.g., A strong architectural thinker who can design scalable solutions with long‐term maintainability. Passion for advancing structured‐data AI and building platforms that deliver real‐world impact. The targeted combined range for this position is 108,100 - 222,800 CAD USD. actual payout depends on company and personal performance.

Qualified applicants will receive consideration for employment without regard to age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.

📌 Senior AI Machine Learning Engineer (Montreal)
🏢 SAP
📍 Montreal