Roku

San Jose, California

Senior Machine Learning Scientist, Creative Generation & Personalization

ON-SITE SENIOR

Posted 3 months ago

$148,750 - $361,000

Posted 3 months ago

Quick Summary

Role Overview

This role involves leading technical research and development within Rokus Advertising Performance group to solve complex problems using state-of-the-art machine learning. You will apply and conduct research to optimize the advertising ecosystem through advanced modeling and experimentation at a massive scale.

Key Responsibilities

Apply state-of-the-art research to build deep learning discriminative and generative models
Conduct original research to develop novel methodologies for advertising challenges
Develop conversion modeling aligned with attribution methodologies and calibration
Optimize dynamic creative generation and yield margin performance
Perform forecasting and time-series modeling for advertising systems
Design and implement experimentation frameworks for A/B and multivariate testing

Requirements Snapshot

PhD in Computer Science Statistics Applied Math or a related quantitative field
Minimum of 8 years of experience in applied research using deep learning
Published research papers on deep learning models for advertising or related areas
Strong technical leadership and expertise in core statistical techniques
Excellent communication and collaboration skills

Expected Impact

You will drive the evolution of Rokus advertising ecosystem by implementing real-time multi-objective optimization systems that operate at large scale and low latency. Your work in machine learning and AI will directly enhance the performance for advertisers, publishers, and the platform, contributing to Rokus mission of connecting the entire TV ecosystem.

A DesignJobs.World summary of the employer's posting, written to highlight scope, requirements, and fit (AI-assisted, human-reviewed).
For full details, see the description below.

Compensation

$148,750 - $361,000

Job Description

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 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

The Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers, Publishers and Roku. The systems and solutions span across different disciplines and technologies to perform realtime multi-objective optimization with distributed systems at large scale and low latencies. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning, Experimentation and Inference Platform that powers the entire landscape which we continuously evolve over time.

About the role

In this role you will work on applying SOTA research and conduct your own research to develop novel methodologies to solve a large variety of challenging problems in Advertising related to conversion modeling aligned with attribution methodologies/models, calibration, dynamic creative generation and optimization, forecasting and timeseries modeling, yield and margin optimization and Experimentation for A/B and multivariate testing.

We’re looking for a strong technical leader with a solid grasp of core statistical techniques and deep experience in SOTA Deep Learning discriminative and generative models.

For California Only - The estimated annual salary for this position is between $148,750 - $361,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What you’ll be doing

Applying research and conducting your own research to build SOTA Deep learning discriminative models
Stay at the forefront of advancements in related areas

We’re excited if you have

PhD in a quantitative discipline such as CS, Statistics, Applied Math or a related field
8+ years of experience in applied research using statistical and deep learning techniques
Published paper(s) on deep learning models for Advertising or related areas
Excellent communication and collaboration skills

Preferred Qualifications

Experience in the Advertising domain
Contributions to open-source ML projects

#LI-DH2

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). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support 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.

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 EmployeeRelations@Roku.com.

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 want Roku to contact you about job roles, that you have read Roku's 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 WorkforcePrivacy@Roku.com.

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