Hiring: Senior Applied Scientist - Moloco Ads Company: Moloco Location: Seattle, WA Job Posted Time: 2026-09-03 10:14:35 Target Skills & Keywords : Machine Learning, User Experience About the job Experience: •4 years of engineering or applied science experience •At least 4 years of engineering or applied science experience Required Skills: •Interface directly with other applied scientists on projects to evaluate the health of both internal and external components to make sure the Moloco system is running safely and efficiently. •Learn from your senior peers how to identify new areas to improve our infrastructure and machine learning components by understanding internal system changes, external changes, and data changes, and identify and suggest interesting/useful next steps for your projects. •Complete task as part of larger projects to complete deep unbiased analyses. •Implement, and evaluate new algorithms and features in collaboration with senior Applied Scientists, Software Engineers and Machine Learning Engineers. •Analyze massive, high-dimensional datasets from ad auctions and user interactions to uncover insights, define success metrics, and guide modeling and product decisions. •Collaborate closely with product, engineering, and other scientists to iterate on experiments, define roadmaps, and translate business requirements into scientifically sound solutions. •Improve the reliability, latency, and efficiency of online prediction and decision systems by applying rigorous experimentation, monitoring, and continual model refinement. Qualifications: •Advanced degree in Computer Science, Mathematics or related field, or industry experience in optimization of market prices or ML systems •Proficient verbal and written English communication skills, with the ability to contribute to the creation of presentations and reports •Quick understanding of new information and the demonstrated ability to learn new technical skills across engineering, machine learning, and data science •Track record of building positive relationships with collaborators and stakeholders and working effectively with cross-functional partners in a global company Compensation: •$188,000 - $235,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!