Senior Machine Learning Engineer - AdTech

About the role

We’re on a mission to build cutting‑edge advertising technology that empowers businesses to run sustainable and highly‑profitable campaigns. The Ad Performance team owns server technologies, data, and cloud services aimed at improving the ad experience. We’re looking for seasoned engineers with a background in machine learning to aid in this mission. Examples of problems include improving ad relevance, inferring demographics, yield optimisation, and many more.

Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimisation, probability theory, and machine learning using both general purpose software and statistical languages.

• Help build a first‑class machine learning platform from the ground up, managing the entire model lifecycle—feature engineering, model training, versioning, deployment, online serving/evaluation, and monitoring prediction quality.
• Apply your expertise to identify and generate features for multiple use cases and models.
• Build and evaluate algorithms for improving product/system performance, quality, and accuracy using techniques such as Decision Trees, Logistic Regression, Neural Networks, Bayesian Analysis, and others.
• Perform low‑level systems debugging, performance measurement, and optimisation on large production clusters.
• Collaborate with product managers, data scientists, and other engineers to deliver impactful solutions.
• Continuously learn and adapt to emerging technologies and industry trends.

• Bachelors, Masters, or PhD in Computer Science, Statistics, or a related field.
• Demonstrated depth in applied machine learning on production systems—typically 6+ years in industry, although we value PhD experience as meaningful acceleration.
• Great coding skills and strong software development experience (Spark, Python, Java).
• Familiarity with real‑time evaluation of models with low latency constraints.
• Familiarity with distributed ML frameworks such as Spark-MLlib, Tensor Flow, etc.
• Ability to work with large‑scale computing frameworks, data analysis systems, and modelling environments. Examples include Spark, Hive, No
  
  SQL stores such as Aerospike and Scylla
  
  DB.
• Ad‑tech background is a plus.

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.

Roku offers a comprehensive benefits package that includes statutory and voluntary benefits such as medical, dental, vision, life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are also supported in taking time off in accordance with local leave policies and other personal needs to support evolving work and life needs. Specific benefits may vary by location and role.

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