Senior Machine Learning Engineer

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.

Responsibilities

• ML infrastructure: Help build a first-class machine learning platform from the ground up which manages the entire model lifecycle - feature engineering, model training, versioning, deployment, online serving/evaluation, and monitoring prediction quality
• Data analysis and feature engineering: Apply your expertise to identify and generate features that can be leveraged by multiple use cases and models
• Model training with batch and real-time prediction scenarios: Use machine learning and statistical modelling techniques such as Decision Trees, Logistic Regression, Neural Networks, Bayesian Analysis and others to develop and evaluate algorithms for improving product/system performance, quality, and accuracy
• Production operations: Low-level systems debugging, performance measurement, and optimisation on large production clusters
• Collaboration with cross-functional teams: Partner with product managers, data scientists, and other engineers to deliver impactful solutions
• Staying ahead of the curve: Continuously learn and adapt to emerging technologies and industry trends

Requirements

• Bachelors, Masters, or PhD in Computer Science, Statistics, or a related field
• 5 years of experience in applied machine learning on real use cases
• Proficient coding skills and strong software development experience in Spark, Python, or Java
• Familiarity with real-time evaluation of models with low latency constraints
• Familiarity with distributed ML frameworks such as Spark-MLlib, TensorFlow, etc.
• Ability to work with large scale computing frameworks, data analysis systems, and modelling environments i.e. Spark, Hive, NoSQL stores such as Aerospike and ScyllaDB
• Ad Tech experience is preferred
• Proficient use of AI tools and agentic coding practices

Qualifications

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

Skills

• Machine Learning
• Experimentation
• Optimization
• Probability Theory
• Statistical Modelling

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).

Pay

The salary range for this position is $100,000 - $150,000 annually, depending on experience and qualifications.

Schedule

Roku offers a hybrid work approach where employees generally work in the office Monday through Thursday and Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance.