Machine Learning Engineer, Evaluation, Agentic Search Capabilities

requirements and priorities, and to explore opportunities for enhancements to the personal search stack. Develop long-term technical vision for personal search quality; identify problem areas and drive solutions as part of a larger roadmap. 6+ years industry experience in building Machine Learning or ML evaluation systems at scale. Strong software engineering skills in mainstream programming languages, such as: Python, C/C++. Ability to quickly prototype ideas and solutions, and perform critical analysis. Strong communication skills and ability to drive solutions in collaboration with partner teams. Bachelors in Computer Science, Engineering, Statistics or related field. Experience in design and building production ML systems and applications in search, NLP, recommendation systems, or information retrieval. Experience in data collection, data generation and/or data quality assessment of language, image or multi-modal data. Strong skills for quality metrics development; interpretation of evaluations; and presentation to executive audience. Advanced degree (Master’s or Ph.D.) in Computer Science, Engineering, Statistics, or related field, or equivalent industry work experience.