Roku

About Roku

Affordable streaming for all your favorite shows

🏢 Tech, Hardware👥 1001+ employees📅 Founded 2002📍 Newhall, San Jose, CA💰 $247.8m3.7
B2CEntertainmentVideoMedia

Key Highlights

  • Over 100 million active accounts worldwide
  • Acquired Quibi's library for original content
  • $247.8 million raised in Series H funding
  • Headquartered in San Jose, CA with 1001+ employees

Roku, headquartered in San Jose, CA, is a leading streaming platform that provides users with access to a wide array of TV channels, movies, and third-party streaming services. With over 100 million active accounts, Roku has raised $247.8 million in funding and continues to innovate in the B2C enter...

🎁 Benefits

Roku offers comprehensive medical, wellness, and financial benefits, along with an unlimited paid time off policy and flexible work-from-home opportun...

🌟 Culture

Roku's culture emphasizes innovation in streaming technology, integrating multiple services into one platform. The company values data-driven recommen...

Roku

Machine Learning Engineer Senior

RokuBengaluru

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Skills & Technologies

Overview

Roku is hiring a Senior Machine Learning Engineer to build a highly scalable advertising platform. You'll leverage your expertise in Machine Learning and Data Science to enhance ad relevance and quality. This role requires extensive experience in building complex systems.

Job Description

Who you are

You have extensive experience in building complex systems using Machine Learning and Data Science — you thrive on tackling challenging problems and enjoy mentoring others in the field. Your background includes working with real-time data and developing algorithms that enhance user experiences and drive business outcomes.

You are passionate about technology at scale and understand the intricacies of deploying machine learning models in production environments — you have a strong grasp of data pipelines and the importance of data quality in model performance. You are a collaborative team player who enjoys working with cross-functional teams to achieve common goals.

You have a keen interest in advertising technologies and understand how machine learning can optimize ad serving and targeting — your analytical mindset allows you to derive insights from data that inform strategic decisions. You are comfortable navigating complex systems and enjoy the challenge of improving existing processes.

Desirable

Experience with cloud platforms and big data technologies is a plus — familiarity with tools like AWS or GCP can enhance your contributions to the team. You may also have experience in A/B testing and experimentation, which is valuable for optimizing ad performance.

What you'll do

As a Senior Machine Learning Engineer at Roku, you will be a vital part of the Ad Engineering Team, responsible for building a highly scalable and available advertising platform. You will design and implement machine learning models that ensure ads are relevant and of high quality, leading to better outcomes for advertisers and a great experience for viewers.

You will collaborate closely with data engineers and software developers to create robust data pipelines that support real-time ad serving — your role will involve experimenting with different algorithms and approaches to improve ad targeting and effectiveness. You will also mentor junior engineers, sharing your knowledge and helping them grow in their careers.

Your contributions will directly impact Roku's ad business, as you work to enhance the relevance of ads served on the platform — you will analyze performance metrics and iterate on your models to ensure continuous improvement. You will participate in code reviews and contribute to the overall architecture of the advertising platform, ensuring it meets the needs of a rapidly growing user base.

What we offer

At Roku, you will be part of a fast-growing public company where your contributions are valued from day one. We offer a collaborative work environment that encourages innovation and creativity. You will have the opportunity to work on cutting-edge technology that powers the #1 TV streaming platform in the U.S., Canada, and Mexico.

We believe in the importance of work-life balance and offer flexible working arrangements to support our employees. You will also have access to professional development opportunities, allowing you to expand your skills and advance your career within the company. Join us in transforming the way the world watches TV.

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