🛠 Tech Stack

💼 About This Role

You'll build high-scale systems for global recommendations at a leading ad-tech company. Your work on internal tools and customer dashboards will directly impact millions of users. You'll collaborate with senior engineers using a modern tech stack.

🎯 What You'll Do

• Developing and optimizing high-performance recommendation systems.
• Building internal and external dashboards for data visualization.
• Designing and implementing monitoring systems for platform stability.
• Managing independent projects and collaborating on team initiatives.

📋 Requirements

• Proficiency in Java or Python.
• Foundational knowledge of SQL.
• Technical level of English language proficiency.
• Current enrollment in or recent completion of a Computer Science degree.

✨ Nice to Have

• Interest in artificial intelligence and recommendation systems.
• Experience with big data tools like Spark, Kafka, or Hadoop.

🎁 Benefits & Perks

• 🏖️ Hybrid work schedule with 3 days in-office.
• 🏥 Comprehensive health benefits.
• 🍿 Fully stocked kitchen.
• 💪 Location-specific perks like gym partnerships.
• 📈 Work with top publishers like Yahoo, Conde Nast, and ESPN.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Phone Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Offer· 1 week