🛠 Tech Stack

💼 About This Role

You'll join a team of engineers building large-scale distributed machine learning systems processing 1B predictions per second during real-time auctions. You'll improve ad relevance and efficiency across Teads' global publisher network. This role offers a chance to work on high-volume, low-latency ML systems at a leading omnichannel advertising platform.

🎯 What You'll Do

• Improve algorithms for exploring and analyzing large datasets
• Develop new ML models for accurate predictions and product insights
• Implement algorithms end-to-end from design to production
• Collaborate with teams to develop services and automate testing

📋 Requirements

• 5+ years of hands-on ML coding in high-scale systems
• Experience with large-scale distributed systems and service-oriented architecture
• Proficiency in Go, Python, or Java
• MSc/PhD in computer science or math

✨ Nice to Have

• Relevant industry experience in ad-tech or recommender systems
• Knowledge of data engineering and AWS
• Experience with Jupyter notebooks

🎁 Benefits & Perks

• 🏖️ Hybrid working model (3 days/week in office)
• 🚗 Nearby parking available
• 📚 Mentorship program and internal learning tools
• 🐾 Pet friendly office
• 🍺 Happy hours and fully stocked kitchen