3h ago

Senior Machine Learning Infrastructure Engineer

Mountain View, CA

$183.7k-$248.6k / year

full-timeseniorsoftware

๐Ÿ›  Tech Stack

๐Ÿ’ผ About This Role

You'll build and operate ML infrastructure that powers Unity's global advertising platform, processing billions of daily requests. You'll bring models from training to production, ensuring ranking, bidding, and targeting systems run reliably at scale. This is a chance to work at the intersection of ML systems and distributed infrastructure with direct impact on the player experience.

๐ŸŽฏ What You'll Do

  • Maintain real-time ML model serving infrastructure across ads ecosystem
  • Build scalable model serving pipelines with focus on latency and reliability
  • Partner with ML engineers to productionize models and improve iteration
  • Improve observability, performance, and cost-efficiency of ML serving

๐Ÿ“‹ Requirements

  • Experience building and operating ML infrastructure in production
  • Proficiency in Golang or Python with systems engineering fundamentals
  • Hands-on experience with Kubernetes at scale
  • Understanding of distributed systems, API design, and reliability

โœจ Nice to Have

  • Experience with feature stores or feature pipelines
  • Background in ad tech, real-time bidding, or programmatic advertising
  • Experience with observability tooling like Prometheus, Grafana, OpenTelemetry

๐ŸŽ Benefits & Perks

  • ๐Ÿ–๏ธ Generous vacation and personal days
  • ๐Ÿ’ฐ Employee stock ownership program
  • ๐Ÿฅ Comprehensive health, life, and disability insurance
  • ๐Ÿ‘ถ Support for new parents through leave and family-care programs
  • ๐Ÿ“š Training and development programs

๐Ÿ“จ Hiring Process

Estimated timeline: 2-4 weeks ยท AI estimate

  1. 1Recruiter Phone Screenยท 30 min
  2. 2Technical Interviewยท 60 min
  3. 3Hiring Manager Interviewยท 45 min
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