🛠 Tech Stack

💼 About This Role

You'll design and operate scalable data pipeline systems and feature datasets powering machine learning, experimentation, and optimization across Unity's ads ecosystem. You'll own the full software lifecycle of pipeline systems from architecture to reliability, collaborating with ML, backend, and product teams to build infrastructure that supports both offline training and online serving.

🎯 What You'll Do

• Design and build production-grade data pipeline systems and feature datasets
• Own end-to-end offline data flows from event ingestion to feature-ready datasets
• Develop and maintain batch and streaming systems with focus on performance
• Build and contribute to the Feature Store platform and online serving layer

📋 Requirements

• Distributed systems experience designing and operating large-scale systems in production
• Hands-on experience building ETL/ELT pipelines using Python, Java, or SQL
• Experience with Spark or Flink in batch and streaming modes
• Understanding of integrating offline data systems with online serving layers

✨ Nice to Have

• Experience with Go for high-throughput services
• Background in ML infrastructure, feature stores, or model training pipelines
• Familiarity with ads, attribution, or monetization systems

🎁 Benefits & Perks

• 🏥 Comprehensive health, life, and disability insurance
• 🚗 Commute subsidy
• 📈 Employee stock ownership
• 🏖️ Generous vacation and personal days
• 👶 Support for new parents through leave and family-care programs

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter phone screen· 30 min
2. 2Technical interview· 60 min
3. 3System design interview· 60 min
4. 4Hiring manager round· 45 min