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Lead Machine Learning Inference Engineer (Advertising) | Hybrid Role in San Jose, CA

Machine Learning Inference Model Deployment Performance Optimization

About the Role

Roku is looking for a Lead Machine Learning Inference Engineer to help power advertising experiences for streaming audiences. In this role, you’ll work on systems that deliver fast, reliable model inference to support advertising performance and engagement across the TV ecosystem.

Responsibilities

  • Lead the design and implementation of machine learning inference services for advertising use cases
  • Collaborate with data science, engineering, and product teams to translate model outputs into production-ready capabilities
  • Optimize latency, throughput, and reliability for inference workloads at scale
  • Drive best practices for model deployment, monitoring, and continuous improvement
  • Contribute to technical planning and mentorship within the team

Requirements

  • Strong experience building production ML inference pipelines and services
  • Proficiency with modern machine learning frameworks and deployment patterns
  • Solid understanding of performance optimization for real-time or near-real-time inference
  • Experience with monitoring/observability for ML systems in production
  • Ability to collaborate cross-functionally and lead technical execution

Benefits

  • Opportunity to impact advertising experiences for millions of streamers
  • Work in a fast-growing, public company that values ownership and collaboration
  • Meaningful exposure across multiple disciplines within the Roku ecosystem
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Posted on July 12, 2026
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