🛠 Tech Stack

💼 About This Role

You'll improve existing algorithms and develop new approaches for accurate predictions in a high-traffic ad-tech environment. Your work will shape how billions discover premium content by enhancing ad relevance and efficiency. You'll implement models end-to-end, collaborating with teams to build scalable ML systems.

🎯 What You'll Do

• Improve existing algorithms for exploring and analyzing data
• Develop new algorithms for accurate predictions and business insights
• Implement models and algorithms end to end
• Collaborate with teams to develop services from design to production

📋 Requirements

• 2-4 years hands-on coding ML solutions in high scale systems
• Relevant industry experience in ad-tech and recommender systems
• MSc/PhD in computer science, math, or engineering
• Experience with Go, Python, Java, AWS, Jupyter notebooks

✨ Nice to Have

• Experience in building engineering at scale
• Publications in relevant fields

🎁 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

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Onsite Interview· 120 min