🛠 Tech Stack

💼 About This Role

You'll join Teads' AI department to innovate at scale, focusing on CTR prediction and online learning. You'll lead end-to-end model lifecycle from research to A/B testing in a high-throughput environment with 2.2 billion monthly users.

🎯 What You'll Do

• Stay at the forefront of AdTech research for CTR prediction and online learning
• Collaborate with cross-functional teams to bridge research and engineering
• Own the end-to-end lifecycle from papers to A/B testing and monitoring
• Experiment with unconventional hypotheses and new algorithmic approaches

📋 Requirements

• Advanced degree (MSc/PhD) in quantitative field or equivalent industry experience
• 4-5 years of applied research deploying ML in high-throughput online environments
• Strong software engineering fundamentals to integrate models into production
• Ability to critique scientific papers and implement core findings

✨ Nice to Have

• Experience with Scala or TypeScript
• Knowledge of large-scale prediction systems for ad delivery
• Familiarity with real-time bidding environments

🎁 Benefits & Perks

• 📈 Career Development: continuous training and internal mobility
• ⚖️ Life Balance: 22 days off per year, hybrid work (3 days/week in office)
• 💪 Wellness: premium equipment, remote work subsidy, team events
• 🤝 Diversity & Inclusion: employee resource groups and initiatives