Senior Machine Learning Engineer, Platform

Roku

San Jose, California, USA
Base: $229,500 - $367,100 annually; bonus/equity: ...
On-site
Design and build ml infrastructure
Scalable distributed systems
Feature store, real-time inference services, vector dbs
Design, build, and scale robust distributed systems that power the next generation of personalized content recommendations for millions of Roku users

Job Summary

  • Design, build, and scale robust distributed systems that power the next generation of personalized content recommendations for millions of Roku users.
  • Focus on developing end-to-end machine learning platforms and infrastructure, ensuring seamless deployment, monitoring, and optimization of algorithms and operational workflows.
  • Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday, with Fridays flexible for remote work.

Matching Summary

Design, build, and scale robust distributed systems that power the next generation of personalized content recommendations for millions of Roku users.

Salary

Base: $229,500 - $367,100 annually; Bonus/Equity: equity awards; Benefits: health insurance, life insurance, disability benefits, parental leave, wellness benefits, paid time off

Skills & Requirements

Must-have

  • design and build ML infrastructure
  • scalable distributed systems
  • feature store, real-time inference services, vector DBs
  • online A/B tests
  • ML platform ecosystem enhancement
  • high-level programming languages (Java, Scala, Kotlin, Python)

Nice-to-have

  • AI literacy and curiosity
  • fast-paced environment
  • collaboration and trust
  • problem-solvers
  • sense of humor

Key Requirements

  • 5+ years of experience building software solutions
  • Strong CS fundamentals
  • MS in Computer Science or related field
  • Experience with big data systems (Spark, Kafka, Flink, S3, AirFlow)
  • Familiarity with ML frameworks (Ray, PyTorch, HuggingFace, AWS Sagemaker)

Work Rights

Not specified

Tailored Resume

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