Principal Applied Scientist – AI Web Data team  

Develop deep expertise across a broad research area and relevant techniques; stay current on industry trends and advances; and apply these insights to shape product and platform direction. Partner with stakeholders to understand business and product requirements; incorporate research insights; and provide strategic technical direction for problem solving with solid scientific rigor and measurable business impact. Mentor and inspire peers and new research talent; build relationships and advocate for research initiatives; share results through industry outreach; collaborate with academia; and strengthen the recruiting pipeline. Document experiments and outcomes; communicate learnings to accelerate innovation; and help define best practices, including ethics and privacy considerations for research processes and data collection. Guide and mentor junior team members in developing new technologies that translate into production-ready solutions. Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research) These requirements include but are not limited to the following specialized security screenings: Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 12+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker. 5+ years experience conducting research as part of a research program (in academic or industry settings). 3+ years experience developing and deploying live production systems, as part of a product team. 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping. 8+ years of experience in product development in machine learning and related areas. Hands-on experience developing algorithms and models using deep learning frameworks such as TensorFlow and PyTorch. Active research in at least one of the following areas: LLM training, artificial intelligence, data science, information retrieval, machine learning, or natural language processing. Demonstrated excellence in communication and cross-team collaboration. Ability to think big while delivering measurable real-world impact through design and development. Solid understanding of web documents and web data processing and understanding concepts, methods, applications, and challenges. Experience with Big Data (Spark, Mapreduce, Cosmos, etc.) and NRT systems Experience with Search or recommendations.