Staff ML Engineer

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. Retail Media ). 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. You’ll 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 team’s 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 strong analytical mindset You are curious, collaborative, 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 efficient, user-centric products We acknowledge that many candidates may not meet every single role requirement listed above. If your experience looks a little different from our requirements but you believe that you can still bring value to the role, we’d love to see your application!​ Who We Are: We’re Criteo, the Commerce Intelligence Platform. Criteo helps businesses turn shopper signals into commerce outcomes while delivering more relevant experiences for shoppers. We use proprietary commerce intelligence and AI decisioning to drive relevance for shoppers and performance for businesses. At Criteo, our culture is as unique as it is diverse. From our offices across the globe or from the comfort of home, our 3,600 Criteos collaborate together to build an open, impactful, and forward-thinking environment. We foster a workplace where everyone is valued, and employment decisions are based solely on skills, qualifications, and business needs—never on non-job-related factors or legally protected characteristics. What We Offer: 🏢 Ways of working – Our hybrid model blends home with in-office experiences, making space for both. 📈 Grow with us – Learning, mentorship & career development programs. 💪 Your wellbeing matters – Health benefits, wellness perks & mental health support. 🤝 A team that cares – Diverse, inclusive, and globally connected. 💸 Fair pay & perks – Attractive salary, with performance-based rewards and family-friendly policies, plus the potential for equity depending on role and level. Additional benefits may vary depending on the country where you work and the nature of your employment with Criteo. The Canada base salary pay range for this position per year is: $160,320 - $200,400 In addition to the Canadian base salary, Criteo also provides a $71.00 work from home allowance.