Machine Learning Engineer

Software Engineering  |  San Jose  | ID: 8146 

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Machine Learning Engineer

Teamwork makes the stream work.

Roku is changing how the world watches TV

Roku is the #1 TV streaming platform in the US, 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 role

Roku offers millions of options to our users: movies, episodes, news, and channels from all around the world. The ML Recommendations engine is key to user happiness by recommending them the most personalized channel or content they would love to watch. Solving this customer problem is why we are actively looking for machine learning engineers to drive further innovation in the channel and content recommendations. The person in this role will leverage their technical skills, business intuition, and analytical thinking to build best-of-class Machine Learning products. The role requires high technical aptitude and problem-solving abilities, motivation, and exceptional attention to detail. We are always in “build mode” because we are a company of data-focused builders, especially on the data-driven team. Every day, you will look at what exists and find ways to improve it. 

 

What you’ll be doing

  • Analyze user engagement and other key metrics to identify the trends
  • Research and develop - tree, sequence, or neural networks based - state of the art machine learning models. Do the offline analysis to compare multiple models
  • Run online AB tests and analyze them against the critical KPI's from #1

 

We are excited if you have

  • 2+ years of relevant experience with a B.S. or M.S. degree in Computer Science, Statistics, or related field. Or a Ph.D. in Computer Science or related fields 
  • Strong CS fundamentals. Should be able to write an algorithm with ease
  • Good understanding of data science and machine learning fundamentals like regression, classification, tree-based approach, neural networks, and sequence-based models
  • Proven familiarity with NLP approaches like W2V or Bert, which includes identifying the right KPIs and objective functions
  • We would love to see that you have worked with big data systems (Spark, EMR, S3, Airflow) and can program (Java, Scala, or Python) 
  • Good understanding of system architecture. Have experience in big data technologies – streaming architecture, data pipelines, etc. 

 

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.

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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Accommodations

Roku complies with federal and state disability laws and it is our policy to provide reasonable accommodations to qualified individuals, including applicants and employees, with disabilities unless the accommodation will impose an undue hardship. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to rokuhr@roku.com.

Roku considers qualified applicants regardless of criminal histories, consistent with legal requirements.

Anti-Discrimination Notice

Roku is proud to be an Equal Opportunity employer. It is the Company’s policy to provide equal opportunity to all individuals seeking employment without regards to race, color, religion, religious creed, national origin, age, sex, marital status, ancestry, physical or mental disability, military or veteran status, gender, gender identity, gender expression, sexual orientation, medical condition, genetic information, or any other protected category under federal, state, or local law. Roku also prohibits harassment or discrimination of applicants based on any of the above-listed protected categories. This policy covers all aspects of employment, including but not limited to, recruitment, selection, training, promotion, transfer, compensation, demotion, and termination of employment.

 

Voluntary Invitation to Self-Identify

This is not required to submit your application.

Completion of the form is entirely voluntary, and refusal to provide the information will not subject you to any adverse treatment. The information obtained will be kept confidential and may only be used in accordance with the provisions of applicable local, state, and federal law, executive orders, and regulations.

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