🛠 Tech Stack

💼 About This Role

You'll lead a team building advanced ML models for audience targeting and revenue optimization at the intersection of machine learning and advertising technology. Your work will directly impact revenue, advertiser outcomes, and user targeting precision through deep learning architectures and real-time inference systems.

🎯 What You'll Do

• Lead design and deployment of ML models for audience targeting and ROAS optimization
• Drive transition from traditional ML to deep learning architectures like transformers
• Own value-based bidding and revenue optimization models
• Build real-time inference pipelines and feature stores in production
• Advance MLOps practices and experimentation frameworks

📋 Requirements

• PhD or Master's in Computer Science, Mathematics, or related field
• 8+ years in data science or ML, including 2+ years in technical leadership
• Expertise in AdTech ML systems like ranking and recommendation architectures
• Deep experience with PyTorch or TensorFlow, plus XGBoost and scikit-learn

✨ Nice to Have

• Experience with agentic frameworks (LangGraph, CrewAI, MCP)
• Databricks or MLflow experience
• Real-time bidding systems knowledge

🎁 Benefits & Perks

• 💰 Competitive salary ($180k-$225k CAD) plus bonus
• 🏥 Comprehensive health, dental, vision insurance
• 🏖️ Flexible remote-first work in Canada
• 📈 Professional development and career growth
• 🎉 Collaborative team culture with events

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min