> Markdown version of [/jobs/ext/3119832-machine-learning-engineer-5-ads-measurement-new](https://www.wearedevelopers.com/jobs/ext/3119832-machine-learning-engineer-5-ads-measurement-new). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer 5 - Ads Measurement New - **Company:** Netflix, Inc. - **Location:** Los Angeles, CA, United States - **Contract:** Permanent contract - **Skills:** Java (Programming Language), A/B Testing, Big Data, Python (Programming Language), Machine Learning, Software Engineering, Apache Spark, Backend, Apache Flink, Machine Learning Operations, Data Pipelines - **Published:** September 28, 2026 - **Apply:** https://www.gamesjobsdirect.com/job/netflix-game-studio/machine-learning-engineer-5-ads-measurement/360321 ## About the Role We are looking for highly motivated engineers working in the advertising space who are excited to join us on this journey., * Experience building advertising measurement products (e.g., Brand Lift, Conversion lift and attribution measurement, advertiser A/B testing, Measurement Intelligence). * Experience building and operating production machine learning systems at scale. * Experience productionizing machine learning models and partnering closely with Data Scientists. * Strong software engineering skills building scalable backend services and data pipelines. * Proficiency in Java, Python, or Scala. Nice to haves: * Experience with causal inference, experimentation, or marketing science. * Experience with streaming and large-scale data processing (e.g., Spark, Flink). * Experience with MLOps, model serving, and production ML operations. * Experience building customer-facing analytics or measurement platforms. * Experience working in the AdTech or MarTech ecosystem. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application) - [Shoot for the moon - machine learning for automated online ad detection](https://www.wearedevelopers.com/videos/502-shoot-for-the-moon-machine-learning-for-automated-online-ad-detection) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [How machine learning can help us tell fact from fiction](https://www.wearedevelopers.com/magazine/509-how-machine-learning-can-help-us-tell-fact-from-fiction) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)