Senior Machine Learning Infrastructure Engineer

Unity is seeking a Senior Machine Learning Infrastructure Engineer to join the Vector Ads team, focusing on building real-time, high-scale ML infrastructure for advertising systems that process billions of requests daily.

Location: Remote (US)

Salary: $183,700—$248,600 USD

Responsibilities

• Design, build, and maintain the infrastructure that serves ML models in real-time across Unity's ads ecosystem
• Build and operate scalable model serving pipelines — owning latency, throughput, and reliability in a high-QPS production environment
• Partner with ML engineers to productionize models, manage model deployments, and improve iteration speed
• Improve observability, performance, and cost-efficiency of ML serving infrastructure
• Contribute to architectural decisions around feature serving, model versioning, and inference optimization

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

Benefits

• 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

Additional Information

• Relocation support is not available for this position