Senior ML Platform Engineer, Real-Time Recommendations

Latitude; San Jose, Northern (CA, KY); Hybrid; USD 230,000 - 360,000; Full time

Benefits offered by this job

Health insurance

Equity awards

Life insurance

Disability benefits

Parental leave

Wellness benefits

Paid time off

Job summary

Roku is seeking a talented Machine Learning Platform Engineer to design, build, and scale distributed systems powering personalized content recommendations for millions of users. You’ll develop end-to-end ML platforms, deploy pipelines, and optimize algorithms across a robust infrastructure.

Join the Recommendations team in California to help drive experimentation, monitoring, and scalable services while collaborating with cross-functional teams and mentoring new engineers.

Qualifications

• 5+ years of experience building software solutions to concrete problems.
• Strong CS fundamentals with ability to write algorithms.
• Fluent in Java, Scala, Kotlin, or Python and big data tooling.

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 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 and system scalability
• Contribute to onboarding, training, and mentoring new team members on platform engineering practices

Skills

5+ years experience

CS fundamentals

Java/Scala/Kotlin/Python

Big data systems

ML frameworks/tools

AI literacy

MS in CS or related

Education

MS in Computer Science or related field

Tools

Ray

PyTorch

HuggingFace

AWS SageMaker

Spark

Kafka

Flink

S3

AirFlow

Job description

Roku is seeking a talented Machine Learning Platform Engineer to design, build, and scale distributed systems powering personalized content recommendations for millions of users. You’ll develop end-to-end ML platforms, deploy pipelines, and optimize algorithms across a robust infrastructure.

Join the Recommendations team in California to help drive experimentation, monitoring, and scalable services while collaborating with cross-functional teams and mentoring new engineers.