Senior Machine Learning Infrastructure Engineer
Remote (Bellevue)•Remote (Mountain View)
Posted 4 hours ago
Last seen 4 hours ago
Active
Remote
full-time
AI & Machine Learning
$183,700 - $248,600 USD
Job Summary
Join Unity's Vector Ads team as a Senior Machine Learning Infrastructure Engineer to build and scale real-time ML systems for a global advertising platform, impacting billions of daily requests. This remote-first role offers the chance to work on high-impact, low-latency infrastructure, collaborating across teams to shape player and advertiser experiences.
About this job
Unity is seeking a Senior Machine Learning Infrastructure Engineer to join the Vector Ads team, building real-time systems for Unity's global advertising platform. This high-scale, low-latency environment processes billions of requests daily to deliver fast, relevant ads. The role involves designing, building, and maintaining ML model serving infrastructure, ensuring reliability and scalability from training to production. You will collaborate across teams to directly impact how machine learning shapes player and advertiser experiences.
Requirements
- Experience building and operating ML infrastructure or model serving systems in production
- Proficiency in Golang or Python, with strong systems engineering fundamentals
- Hands-on experience with Kubernetes and container orchestration at scale
- Familiarity with ML serving frameworks such as Ray Serve, Triton, TorchServe, or similar
- Understanding of distributed systems, API design, and system reliability
- Strong collaboration and communication skills in a remote-first environment
- Experience with feature stores, feature pipelines, or online/offline feature serving (nice-to-have)
- Background in ad tech, real-time bidding, or programmatic advertising systems (nice-to-have)
- Familiarity with infrastructure-as-code such as Terraform (nice-to-have)
- Experience with observability tooling — Prometheus, Grafana, OpenTelemetry (nice-to-have)
- Background with real-time data pipelines, caching layers, or low-latency serving systems (nice-to-have)
Benefits & Perks
- Comprehensive health, life, and disability insurance
- Commute subsidy
- Employee stock ownership
- Competitive retirement/pension plans
- Generous vacation and personal days
- Support for new parents through leave and family-care programs
- Office food snacks
- Mental Health and Wellbeing programs and support
- Employee Resource Groups
- Global Employee Assistance Program
- Training and development programs
- Volunteering and donation matching program
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