Senior Software Engineer, Machine Learning (Ad Tech)

2 Weeks ago • 5-7 Years

About the job

Summary_{By Outscal}

Roku is seeking a Senior Software Engineer, Machine Learning (Ad Tech) to build and develop ML models for content understanding in Ads. You'll use deep learning, generative AI, and large language models to improve brand safety, revenue, and ad moderation. Must have 5+ years of experience building models for business applications, a strong understanding of data science and ML, and experience with deep learning algorithms.

About the job

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 Team

A highly scalable, highly available, real-time advertising platform is critical to support and grow Roku's rapidly expanding ad business. It is the mission of the Ad Engineering Team to

build this platform. We are hiring a Senior Machine Learning Engineer, Advertising Platform, to be a vital part of this mission. If you bring extensive experience building complex systems

using Machine Learning and Data Science, love great technology at scale, enjoy mentoring, jumping in, and figuring things out in any system, this role is for you!

The Ad Serving team, based in Bangalore, is responsible for ensuring that ads on the Roku platform are relevant and of good quality, leading to better outcomes for advertisers and

providing a great experience for our viewers. Dealing with millions of ad requests in a day, we need to have best in class ML driven systems to improve the way we serve ads in multiple

countries and languages.

About The Role

In this role, you will build and develop ML models to solve for content understanding aspects of Ads. These models rely on the visual, audio and textual content of ads, across multiple languages. This includes developing computer vision and machine learning models/methods such as deep learning models, generative AI solutions, large language models (LLMs) and

vision language models (VLMs). You will work with software engineers and other ML engineers to identify, build, train and productionize these models to improve brand safety, increase

revenue opportunities and help with moderation and generation of ad creatives in general.

What you'll be doing

Develop scalable and effective machine-learning models and optimization strategies to solve business problems related to Ads

Run regular A/B experiments, gather data, and perform statistical analysis

Work closely with software engineers and other ML engineers to deliver end-to-end solutions into production

Improve the scalability, efficiency and automation of ML driven ad serving systems, model training, deployment and serving

Partner with senior stakeholders to plan and drive the ML strategy for Ad Serving

We're excited if you have

5+ years of building models for business application experience

PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience

Strong CS fundamentals. Should be able to write an algorithm with ease.

Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms

Good understanding of data science and machine learning fundamentals like regression, classification, tree-based approach, neural networks, sequence-based, and NLP approaches like W2V or Bert

Can brainstorm and identify the right KPIs and objective functions.

Preferred qualifications:

Knowledge of programming languages such as C/C++, Python, Java or Perl

Have publications at top-tier peer-reviewed conferences or journals

Characteristics of success at Roku, Inc.

Self-motivated individual with a high level of accountability and ownership.

Critical thinking and practical decision making.

Can do, results-oriented mindset.

Nonpolitical, collaborative, and team oriented.

Desire to win in a highly competitive industry.

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.

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