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. What you’ll be doing Help build a first‑class machine learning platform from the ground up that manages the entire model lifecycle—including feature engineering, model training, versioning, deployment, online serving/evaluation, and monitoring prediction quality. Apply expertise to identify and generate features that can be leveraged by multiple use cases and models. 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. 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. We’re excited if you have Bachelor’s, Master’s, or Ph.D. in Computer Science, Statistics, or a related field. At least 6 years of industry experience in applied machine learning on production systems, or equivalently significant Ph.D. research. Strong coding skills and software development experience (Spark, Python, Java). Familiarity with real‑time evaluation of models with low‑latency constraints. Experience with distributed ML frameworks such as Spark‑MLlib, TensorFlow, etc. Experience with large‑scale computing frameworks, data analysis systems, and modelling environments such as Spark, Hive, Aerospike, ScyllaDB. Ad‑tech background is a plus. Hybrid Work Approach Teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles require in‑office presence five days a week or those in offices with a five‑day in‑office policy. Benefits Roku offers a comprehensive benefits package, including global access to mental health and financial wellness support and resources. Local benefits 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. Not every benefit is available in all locations or for every role; consult your recruiter for details specific to your location. 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 View email address on click.appcast.io. #J-18808-Ljbffr Roku