🛠 Tech Stack

💼 About This Role

You'll build and operate the infrastructure that serves ML models in real-time across Unity's global advertising platform. You'll own latency, throughput, and reliability for billions of daily requests. This role combines ML systems and distributed infrastructure at high scale.

🎯 What You'll Do

• Design and maintain infrastructure for real-time ML model serving
• Build scalable model serving pipelines with high latency and throughput
• Partner with ML engineers to productionize models and manage deployments
• Improve observability, performance, and cost-efficiency of ML serving

📋 Requirements

• Experience building and operating ML infrastructure in production
• Proficiency in Golang or Python
• Hands-on experience with Kubernetes at scale
• Familiarity with ML serving frameworks like Ray Serve or Triton

✨ Nice to Have

• Experience with feature stores or feature pipelines
• Background in ad tech or real-time bidding
• Experience with Terraform, Prometheus, or Grafana

🎁 Benefits & Perks

• 🏖️ Generous vacation and personal days
• 🏥 Comprehensive health, life, and disability insurance
• 📈 Employee stock ownership
• 🧠 Mental Health and Wellbeing programs
• 📚 Training and development programs

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Phone Screen· 30 min
2. 2Technical Interview· 60 min
3. 3System Design Interview· 60 min
4. 4Hiring Manager· 45 min