Senior Software Engineer, Machine Learning Platform at Roku

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

28 Jan, 26

Salary

0.0

Posted On

30 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Distributed Systems, Java, Scala, Kotlin, Python, Big Data, Spark, Kafka, Flink, S3, AirFlow, Ray, PyTorch, HuggingFace, AWS Sagemaker

Industry

Software Development

Description

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the team Roku pioneered streaming to the TV. We connect users to the streaming content they love, enable content publishers to build and monetize large audiences, and provide advertisers with unique capabilities to engage consumers. Roku streaming players and Roku TV™ models are available worldwide through direct retail sales and licensing arrangements with TV brands and pay-TV operators. About the role We seek an outstanding, creative, and passionate Machine Learning Platform Engineer to join Roku's Recommendation team. In this role, you will design, build, and scale robust distributed systems that power the next generation of personalized content recommendations for millions of Roku users. You will focus on developing end-to-end machine learning platforms and infrastructure, ensuring seamless deployment, monitoring, and optimization of algorithms and operational workflows that deliver unique experiences at scale. What You'll Be Doing 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. We’re excited if you have 5+ years of experience building software solutions to concrete problems Strong CS fundamentals. Should be able to write an algorithm with ease You are fluent with one of high-level programming languages like Java, Scala, Kotlin or Python We’d love to see that you’ve worked 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 #LI-NK1 Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. The Roku Culture Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet. By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe here at any time.

Responsibilities

You will design, build, and scale robust distributed systems that power personalized content recommendations for millions of Roku users. This includes developing end-to-end machine learning platforms and ensuring seamless deployment and optimization of algorithms.