Staff ML Engineer
About The Position
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. 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#.
Requirements
- 10 years of experience building and deploying machine learning systems at scale in production environments
- Experienced in ranking models for information retrieval or recommender systems
- Strong analytical mindset
- Curious, collaborative, and eager to both learn from others and share your expertise with your team
- Value cross-functional collaboration and enjoy partnering with R&D teams, Product Managers, and Product Analysts to build efficient, user-centric products
Responsibilities
- 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
Benefits
- Learning, mentorship & career development programs
- Health benefits, wellness perks & mental health support
- Attractive salary, with performance-based rewards and family-friendly policies, plus the potential for equity depending on role and level
- Work from home allowance
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
