What You''ll Do: CRITEO is looking for a Staff Machine Learning Engineer to join our R&D; team in Toronto.

Our mission is to power real-time product ranking systems that deliver the most relevant products to users on retailers websites as part of our Retail Media solutions (c.f. ).

To achieve this, we design and operate large-scale machine learning systems built on tabular data to predict user behaviors such as clicks and purchases.

Our work spans the full ML lifecycle from building robust data pipelines and developing production-grade models to monitoring and maintaining model performance in production.

Youll join a team of Machine Learning Engineers working closely with cross-functional partners across R&D;, Product Management, Product Analytics, and Commercial teams to deliver impactful, scalable solutions.

Our core technology stack includes Python, Spark, SQL, and C#.

Your main missions: Design, develop, and deploy machine learning models into production Analyze data and build scalable,



reliable data pipelines Define the teams roadmap and technical strategy Own end-to-end initiatives by defining goals, milestones, and technical deliverables in collaboration with Product Managers Participate in architecture discussions and help drive technical decisions, actively contributing to the business performance Who You Are: You have 10 years of experience building and deploying machine learning systems at scale in production environments You are experienced in ranking models for information retrieval or recommender systems You enjoy diving deep into data and have a robust analytical mindset You are curious, cooperative, and eager to both learn from others and share your expertise with your team You value cross-functional collaboration and enjoy partnering with R&D; teams, Product Managers, and Product Analysts to build effective, user-centric products

📌 Staff Ml Engineer Toronto
🏢 Criteo
📍 Toronto