Senior Machine Learning Scientist, Advertising

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

Benefits offered by this job

Health insurance

Equity awards

Life insurance

Paid time off

Job summary

Roku is looking for a research expert to apply cutting-edge methodologies in Advertising. This role is centered on conversion modeling, optimization, and experiment testing, and requires a PhD in a quantitative discipline with 8+ years of experience in applied research.

Enjoy a hybrid work environment with competitive benefits, including health insurance and equity awards. Salary estimation ranges from $148,750 to $361,000 annually, based on experience and qualifications.

Qualifications

• 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.

Responsibilities

• Applying research to build deep learning models.
• Building generative models for image and video ads.
• Staying updated with advancements in related areas.

Skills

Statistical techniques

Deep learning techniques

Communication skills

Collaboration skills

Education

PhD in a quantitative discipline

Job description

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 real‑time 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 state‑of‑the‑art research and conducting 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 time‑series modeling, yield and margin optimization, and experimentation for A/B and multivariate testing.

What you’ll be doing

• Applying research and conducting your own research to build SOTA deep learning discriminative models
• Building generative models to generate image and video ads geared towards optimizing performance
• 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 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

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

For California Only – The estimated annual salary for this position is between $148,750 and $361,000 annually. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

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].