Senior Machine Learning Scientist, Creative Generation & Personalization

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.

Responsibilities

• 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

Requirements

• 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

Qualifications

• Strong technical leader with a solid grasp of core statistical techniques and deep experience in SOTA Deep Learning discriminative and generative models

Skills

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

Benefits

• Global access to mental health and financial wellness support and resources
• Local benefits including healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension)
• Flexible Fridays for remote work

Pay

Competitive salary and equity

Schedule

Hybrid work approach with office days on Monday through Thursday and flexible Fridays for remote work

Company Culture

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.