Machine Learning Engineer

Job Duties: Design, build, and deploy industrial-level machine learning models to solve critical problems in ad ranking, bidding, and optimization. Take full ownership of the ML lifecycle, from ideation and research to building scalable serving systems and maintaining models in production. Perform systematic feature engineering to transform raw, diverse data into high-quality features that drive model performance. Work closely with product managers, data scientists, and engineers to translate business challenges into effective ML solutions. Improve the reliability and stability of our ML systems by building robust monitoring, alerting, and automated retraining pipelines. Research new algorithms, stay up-to-date with state-of-the-art ML techniques, and contribute to the team's strategy and roadmap. Full-time telecommuting is an option.

Requirements: Master’s degree in Computer Science, Mathematics, Engineering (any field) or related quantitative discipline and (3) three years of experience in the job offered or related occupation.

Special Skill Requirements: 1.) Machine Learning; 2.) TensorFlow; 3.) Python and SQL; 4.) Feature Engineering and Selection; 5.) Ads predictive model design; 6.) Ads predictive model offline training and model evaluation; 7.) Ads predictive model online/serving experiment and analysis; 8.) Ads modeling serving status monitoring and incident mitigation (Oncall); 9.) Distributed Systems; 10.) Prompt Engineering and RAG. Any suitable combination of education, training and/or experience is acceptable. Full time telecommuting is an option.