> Markdown version of [/jobs/ext/4645043-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/4645043-machine-learning-engineer). 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 - **Company:** StackAdapt Inc. - **Location:** Seattle, WA, United States (Remote available) - **Salary:** $140,000 - $192,500 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Structures, Machine Learning, Software Engineering, Concurrency, Information Technology, Low Latency, Real Time Data - **Published:** November 9, 2026 - **Apply:** https://www.careerbuilder.com/job-details/machine-learning-engineer-seattle-wa--d347b9a9-581c-4c53-9042-0aba3f022e54 ## About the Role Machine Learning, Marketing, Campaigns, Advertising, Artificial Intelligence (AI), Brand Marketing (Branding), Technical Leadership, Channel Marketing, Problem Solving Skills, Machine Learning ## Description * Design modular and scalable real time data pipelines to handle huge datasets * Understand and implement custom ML algorithms in a low latency environment * Work on microservice architectures that run training, inference, and monitoring on thousands of ML models concurrently What you'll bring to the table: * Have the ability to take an ambiguously defined task, and break it down into actionable steps * Have deep understanding of algorithm and software design, concurrency, and data structures * Experience in implementing probabilistic or machine learning algorithms * Interest in designing scalable distributed systems * A high GPA from a well-respected Computer Science program * Enjoy working in a friendly, collaborative environment with others The compensation range listed for this role reflects the expected base salary for candidates located in the posting country based on a global rate. It is informed by market data and the approved budget for this position. StackAdapt maintains different compensation ranges for roles across other countries and regions, and final offers will be aligned to the candidate's current location. We do not ask candidates about current or prior salary history, and we will not use such information, if volunteered, in setting an offer.