Senior Machine Learning Engineer

Roku; San Jose (CA); On-site; USD 148,750 - 361,000; Full time

Benefits offered by this job

Health insurance

Equity awards

Life insurance

Disability benefits

Paid time off

Job summary

Roku, Inc. in San Jose, California is seeking strong engineers to enhance its Advertising Performance group. The role focuses on building state-of-the-art machine learning models to optimize advertising performance through innovative methodologies.

The ideal candidate will have extensive experience in machine learning, particularly in deep learning. Benefits include comprehensive health coverage, equity awards, and a supportive workplace culture.

Qualifications

• 5+ years of experience in building Machine Learning platforms or applying Deep Learning methodologies.
• Strong understanding of core statistical techniques.
• Experience in the Advertising domain is preferred.

Responsibilities

• Apply methodologies to solve problems in Advertising related to conversion modeling.
• Build and evolve a state-of-the-art Machine Learning platform.
• Generate image and video ads for performance optimization.

Skills

Machine Learning

Deep Learning

Statistical Techniques

Collaboration

Education

BS or higher in CS, ECE or related field

MS or higher in CS, ECE or related field

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 apply various 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 time series modeling, yield and margin optimization and Experimentation for A/B and multivariate testing. You will also work on building out a SOTA machine learning platform.

We’re looking for strong engineers well versed with modern large scale machine learning platforms 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

• Building SOTA Deep learning discriminative models and build generative models to generate image and video ads geared towards optimizing performance
• Building and evolving a SOTA Machine Learning Platform from feature generation to realtime inferencing that can optimize and deploy complex models at large scale and low latencies
• Be forward thinking about advancements in ML related areas

We’re excited if you have

• BS or higher in CS, ECE or a related field
• 5+ years of experience in building out Machine Learning platforms or applying Deep Learning methodologies
• Ability to communicate and collaborate cross functionally

Preferred Qualifications:

• MS or higher CS, ECE or a related field
• Experience in the Advertising domain
• Contributions to open-source ML projects

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 [e-mail].