2 months ago
Base Salary
$230k - $360k/yr
Responsibilities
- Design, build, and maintain scalable ML platform services including feature stores, real-time inference services, and vector databases serving millions of transactions per second.
- Run and monitor online A/B tests and analyze platform metrics and business KPIs to optimize recommendation performance.
- Collaborate with engineering and cross-functional teams to translate business requirements into modular platform components and APIs.
- Enhance the ML platform ecosystem to improve developer velocity, scalability, and adaptability.
- Contribute to onboarding, training, and mentoring new team members on platform engineering practices and technologies.
Requirements
- At least 5 years of experience building software solutions to concrete problems.
- Strong computer science fundamentals and the ability to write algorithms effectively.
- Fluency in one or more high-level programming languages such as Java, Scala, Kotlin, or Python.
- Experience with big data systems such as Spark, Kafka, Flink, S3, and Airflow.
- Familiarity with ML frameworks and tools including Ray, PyTorch, Hugging Face, and AWS SageMaker.
- AI literacy and curiosity, including prior experimentation with generative AI or a willingness to explore it.
- A master's degree in computer science or a related field.
Benefits
- Health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
- Mental health and financial wellness support, with local benefits that may include medical, dental, vision, accident, commuter, retirement, and statutory or voluntary benefits.
- Hybrid work generally requires office attendance Monday through Thursday, with Fridays generally flexible for remote work.
- Reasonable accommodations and adjustments are available in accordance with applicable law.
Tech Stack
Categories
About Roku
Roku builds streaming players, Roku-branded TVs and audio gear, and the Roku OS licensed to TV manufacturers. Its platform supports ad-supported and subscription streaming, including The Roku Channel and Roku Originals, and underpins a significant advertising business. Founded in 2002 and headquartered in San Jose, it is a public company trading on NASDAQ under the ticker ROKU.