🛠 Tech Stack

💼 About This Role

You'll build and operate the infrastructure that brings ML models from training into production for Unity's global advertising platform, processing billions of requests daily. You'll partner with ML engineers to productionize models and improve iteration speed, working at the intersection of ML systems and distributed infrastructure.

🎯 What You'll Do

• Design, build, and maintain ML model serving infrastructure in real-time
• Build and operate scalable model serving pipelines with high QPS
• 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 with systems engineering fundamentals
• Hands-on experience with Kubernetes and container orchestration at scale
• Familiarity with ML serving frameworks like Ray Serve, Triton, or TorchServe

✨ Nice to Have

• Experience with feature stores or feature pipelines
• Background in ad tech or real-time bidding systems
• Familiarity with infrastructure-as-code like Terraform

🎁 Benefits & Perks

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

📨 Hiring Process

Estimated timeline: 3-5 weeks · AI estimate

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