Senior Machine Learning Engineer, Recommendations

Software Engineering | Bengaluru | ID: 09396 

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Senior Machine Learning Engineer, Recommendations

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Teamwork makes the stream work.

Roku is changing how the world watches TV

Roku is the #1 TV streaming platform in the US 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 engineer to join Roku's Recommendation team. You will be responsible for building and owning the next generation of content recommendations and other algorithms/systems that will make the experience for our many millions of Roku users 100% personalized and unique. 

 

What you'll be doing

  • Apply state of the art ML on recommendations using techniques in deep learning, bandits, transformers, LLMs, causal inference, and optimizations to make our users more delighted and engaged on the platform
  • Run online AB tests and analyze them against the critical business KPIs
  • Collaborate with US engineering teams as well as cross-functional teams to translate business requirements into technical specifications
  • Nurture our ML ecosystem to make it withstand scale, developer velocity and future business shifts
  • Help in training and mentoring new team members 

 

We're excited if you have

  • 5+ years of experience applying Machine Learning to concrete problems at large scale.  
  • Strong CS fundamentals. Should be able to write an algorithm with ease.  
  • Solid understanding of Data Science and ML fundamentals – Regression, Classification, Tree-based approach, Neural network, and sequence-based models. Understanding of NLP approaches like W2V or Bert. Should be able to identify the right KPIs and Objective functions.  
  • Good understanding of system architecture. Have experience in big data technologies – streaming architecture, data pipelines, etc.  
  • Bachelors in Computer Science, Statistics, or related field  
  • Preferred:  
    • Build Recommender Systems for a living  
    • Experience with Java, Scala, or Python  
    • Work with big data systems – Spark, EMR, S3, AirFlow  
    • Hold an MS or PhD in CS or related fields
#LI-AK1

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 have read our Applicant Privacy Notice and authorize Roku to process your data subject to those terms.

Thanks for considering a role at Roku. Take a moment to complete the form below. We ask that you remove any photos from your resume or CV before submitting your application. 

Additionally, providing false, misleading, or inaccurate information or responses will void this application and disqualify you from consideration. If employed by Roku, it will result in the immediate termination of employment regardless of when Roku discovers misleading or inaccurate information.

 

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Thank you for applying for a role at Roku! We appreciate your interest in joining our team. We have received your application and will review it thoroughly.

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By providing your information, you acknowledge that you have read our Applicant Privacy Notice and authorize Roku to process your data subject to those terms. If you do not wish to receive any communications from Roku regarding similar roles in the future, you may unsubscribe at any time.

Thank you for your interest in joining our talent community at Roku! We appreciate your time and effort in submitting your contact information. We'll keep you updated on future opportunities that match your skills and experience.

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