Responsibilities
- Develop scalable ML models and data pipelines for measurement, audience insights, campaign performance intelligence, and advertiser-facing analytics.
- Design and run experiments, measure impact, and translate results into product decisions and customer outcomes.
- Build and productionise reporting agents, insights agents, campaign-monitoring agents with human-in-the-loop controls, and a semantic layer for natural-language analytics.
- Improve automation, reliability, and scalability across model training, feature engineering, deployment, and monitoring.
- Deliver end-to-end solutions from data ingestion through downstream products and APIs with software and ML engineers.
- Shape ML and generative-AI strategy for advertising measurement, including safety, quality, and advertiser productivity.
- Provide technical guidance and mentorship to other engineers.
- Lead experimentation and advanced measurement, including incrementality and lift studies across advertisers’ broader media mix.
Requirements
- At least 5 years of experience applying machine learning or data science to real business problems at scale.
- A master’s degree or higher in Computer Science, Computer Engineering, Machine Learning, or a related field, with 4+ years of experience, or equivalent experience.
- Strong computer science fundamentals and ability to design efficient algorithms and production systems.
- Experience with large-scale ML approaches such as regression, classification, tree-based methods, embeddings, sequence models, or NLP.
- Ability to define KPIs, objective functions, and evaluation frameworks for ML-driven systems.
- Proficiency in one or more of Python, Scala, Java, or C/C++.
- Experience with large-scale data platforms such as Spark, Trino/Presto, feature stores, or data lakes.
- Experience building or integrating with LLM or generative-AI pipelines, including prompting, evaluation, retrieval, and safety.
- Experience in AdTech, advertising data platforms, or campaign measurement is preferred.
- Familiarity with Druid, Trino, StarRocks, or Looker is preferred.
- Experience with AWS, GCP, or Azure and containerisation tools such as Docker and Kubernetes is preferred.
- Knowledge of CI/CD pipelines and MLOps best practices is preferred.
- Prior publications, patents, or open-source contributions are preferred.
Benefits
- Hybrid schedule generally working in the office Monday through Thursday, with Fridays generally flexible for remote work.
- Healthcare benefits may include medical, dental, and vision coverage, plus life, accident, disability, commuter, and retirement options such as 401(k) or pension, depending on location and role.
- Global mental health and financial wellness support and resources.
- Paid time off in accordance with local leave policies and personal needs.
Tech Stack
Categories
About Roku
With the #1 platform for streaming television in the U.S., Roku wants to revolutionize the way the world watches TV. Our Roku-branded TVs, Roku TV models, Smart Home system, streaming players, audio equipment, and the purpose-built operating system that powers it all can turn any home into a home theater, with seamless integration of hardware and software. Our commitment to our users extends to our brand studio, which creates innovative Roku Originals exclusively for The Roku Channel, a free channel that reaches approximately 80 million households in the U.S. and Mexico. Join us and you'll have the chance to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. Be a part of shaping the future of streaming at weareroku.com.