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 weve 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 youll make a valuable - and valued - contribution. Were 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 is the No. 1 TV streaming platform in the U.S. Canada and Mexico with 70 millions of active accounts. Roku pioneered streaming to the TV and continues to innovate and lead the industry. We believe Rokus continued success relies on its investment in our machine learning/ML recommendation engine. Roku enables our users to access millions of contents including movies episodes news sports music and channels from all around the world.
About the role
Were on a mission to build cutting-edge advertising technology that empowers businesses to run sustainable and highly-profitable campaigns. The Ad Performance team owns server technologies data and cloud services aimed at improving the ad experience. Were looking for seasoned engineers with a background in machine learning to aid in this mission. Examples of problems include improving ad relevance inferring demographics yield optimisation and many more. Employees in this role are expected to apply knowledge of experimental methodologies statistics optimisation probability theory and machine learning using both general purpose software and statistical languages.
What youll be doing
- ML infrastructure: Help build a first-class machine learning platform from the ground up which manages the entire model lifecycle - feature engineering model training versioning deployment online serving/evaluation and monitoring prediction quality.
- Data analysis and feature engineering: Apply your expertise to identify and generate features that can be leveraged by multiple use cases and models.
- Model training with batch and real-time prediction scenarios: Use machine learning and statistical modelling techniques such as Decision Trees Logistic Regression Neural Networks Bayesian Analysis and others to develop and evaluate algorithms for improving product/system performance quality and accuracy.
- Production operations: Low-level systems debugging performance measurement and optimisation on large production clusters.
Collaboration with cross-functional teams: Partner with product managers data scientists and other engineers to deliver impactful solutions.
Staying ahead of the curve: Continuously learn and adapt to emerging technologies and industry trends.
Were excited if you have
- Bachelors Masters or PhD in Computer Science Statistics or a related field.
- Experience in applied machine learning on real use cases (bonus points for ad tech-related use cases). Min10 years of total experience.
- Great coding skills and strong software development experience (we use Spark Python Java).
- Familiarity with real-time evaluation of models with low latency constraints.
- Familiarity with distributed ML frameworks such as Spark-MLlib TensorFlow etc.
- Ability to work with large scale computing frameworks data analysis systems and modelling environments. Examples include Spark Hive NoSQL stores such as Aerospike and ScyllaDB.
- Ad tech background is a plus.
- AI growth mindset / AI Literacy
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
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. Its 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.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process please direct your inquiries to .
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 companys 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. Were independent thinkers with big ideas who act boldly move fast and accomplish extraordinary things through collaboration and short at Roku youll be part of a company thats 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 isnt 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 weve grown visit providing your information you acknowledge that you want Roku to contact you about job roles that you have read Rokus 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 at any time by emailing .
Required Experience:
Staff IC
Teamwork makes the stream work.Roku is changing how the world watches TVRoku is the #1 TV streaming platform in the U.S. Canada and Mexico and weve 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 connec...
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 weve 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 youll make a valuable - and valued - contribution. Were 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 is the No. 1 TV streaming platform in the U.S. Canada and Mexico with 70 millions of active accounts. Roku pioneered streaming to the TV and continues to innovate and lead the industry. We believe Rokus continued success relies on its investment in our machine learning/ML recommendation engine. Roku enables our users to access millions of contents including movies episodes news sports music and channels from all around the world.
About the role
Were on a mission to build cutting-edge advertising technology that empowers businesses to run sustainable and highly-profitable campaigns. The Ad Performance team owns server technologies data and cloud services aimed at improving the ad experience. Were looking for seasoned engineers with a background in machine learning to aid in this mission. Examples of problems include improving ad relevance inferring demographics yield optimisation and many more. Employees in this role are expected to apply knowledge of experimental methodologies statistics optimisation probability theory and machine learning using both general purpose software and statistical languages.
What youll be doing
- ML infrastructure: Help build a first-class machine learning platform from the ground up which manages the entire model lifecycle - feature engineering model training versioning deployment online serving/evaluation and monitoring prediction quality.
- Data analysis and feature engineering: Apply your expertise to identify and generate features that can be leveraged by multiple use cases and models.
- Model training with batch and real-time prediction scenarios: Use machine learning and statistical modelling techniques such as Decision Trees Logistic Regression Neural Networks Bayesian Analysis and others to develop and evaluate algorithms for improving product/system performance quality and accuracy.
- Production operations: Low-level systems debugging performance measurement and optimisation on large production clusters.
Collaboration with cross-functional teams: Partner with product managers data scientists and other engineers to deliver impactful solutions.
Staying ahead of the curve: Continuously learn and adapt to emerging technologies and industry trends.
Were excited if you have
- Bachelors Masters or PhD in Computer Science Statistics or a related field.
- Experience in applied machine learning on real use cases (bonus points for ad tech-related use cases). Min10 years of total experience.
- Great coding skills and strong software development experience (we use Spark Python Java).
- Familiarity with real-time evaluation of models with low latency constraints.
- Familiarity with distributed ML frameworks such as Spark-MLlib TensorFlow etc.
- Ability to work with large scale computing frameworks data analysis systems and modelling environments. Examples include Spark Hive NoSQL stores such as Aerospike and ScyllaDB.
- Ad tech background is a plus.
- AI growth mindset / AI Literacy
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
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. Its 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.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process please direct your inquiries to .
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 companys 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. Were independent thinkers with big ideas who act boldly move fast and accomplish extraordinary things through collaboration and short at Roku youll be part of a company thats 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 isnt 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 weve grown visit providing your information you acknowledge that you want Roku to contact you about job roles that you have read Rokus 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 at any time by emailing .
Required Experience:
Staff IC
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