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SeniorFull-timePythonJavaRustAWSMachine LearningPyTorchAIML
Salary Range
$132,600 - $179,400 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
Roku is seeking a Machine Learning Platform Engineer to join their Recommendations team. This role involves designing, building, and scaling robust distributed systems that power personalized content recommendations for millions of Roku users. The engineer will focus on developing end-to-end machine learning platforms and infrastructure, ensuring seamless deployment, monitoring, and optimization of algorithms and operational workflows.
Key Responsibilities
- →Design, build, and maintain scalable platform services: feature store, real-time inference services, vector DBs etc., that serve millions of transactions per second
- →Run and monitor online AB tests via robust platform services, analyzing platform metrics and business KPIs to optimize recommendation system performance
- →Collaborate closely with US-based engineering and cross-functional teams to translate business requirements into modular platform components and APIs
- →Enhance and evolve the ML platform ecosystem to support high developer velocity, system scalability, and adaptability to future business needs
- →Contribute to onboarding, training, and mentoring new team members on emerging platform engineering best practices and technologies
Requirements
- ✓5+ years of experience building software solutions to concrete problems
- ✓Strong CS fundamentals. Should be able to write an algorithm with ease
- ✓Fluent with one of high-level programming languages like Java, Scala, Kotlin or Python
- ✓Experience with big data systems (Spark, Kafka, Flink, S3, AirFlow)
- ✓Familiar with model ML framework and tools: Ray, PyTorch, HuggingFace, AWS Sagemaker
- ✓AI literacy and curiosity. You have either tried Gen AI in your previous work or outside of work or are curious about Gen AI and have explored it.
- ✓MS in Computer Science or related field
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