Following and advancing best practices for Responsible AI and Privacy Preserving Machine Learning. Embody our culture and values.
Responsibilities
Conduct applied science experiments, create and validate metrics, develop ML pipeline and modeling algorithm in the area of Large Language Models, Natural Language Processing, Information Retrieval, and Machine Learning. Develop and deploy conversational and language understanding models at scale.
Required Qualifications
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research). OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field. OR equivalent experience. 2+ years of experience with design, implementation, debugging and testing of complex distributed services. 2+ years of experience shipping products through more than one development cycle. 2+ years of experience working on Machine Learning models specifically with Natural language-based models, vector databases and graph databases. Demonstrated experience working with Large Language Models and prompt engineering. PHD.
Original Posting
This role is sourced from Microsoft. Apply on Microsoft careers page