Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field ANDrelated experience (e.g., statistics, predictive analytics, research)
OR, Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field ANDrelated experience (e.g., statistics, predictive analytics, research)
OR, Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field ANDrelated experience (e.g., statistics, predictive analytics, research)
OR equivalent experience.
Preferred Qualifications:
Expertise with design and coding
Experience of large-scale machine learning
Experience working with Machine Learning with expertise in one of the following areas: Search, Recommendation, Personalisation, Ranking, Information Retrieval, Relevance or similar
Dedicated C#, or Java or Python or C/C++ coding skills
Free thinkers withthe abilityto socialize and drive their ideas into technology are highly desired.
Ph.D. preferred but not required
Responsibilities
Conduct applied science experiments, create and validate metrics, develop ML pipeline and modeling algorithm in Large Language Models, Natural Language Processing, Information Retrieval, and Machine Learning.
Develop and deploy conversational and language understanding models at scale.
Push the boundaries of AI platforms through innovation and partnership.
Following and advancing best practices for Responsible AI and Privacy Preserving Machine Learning.
Collaborate closely with Microsoft Research, Microsoft Turing, Azure, AI platform teams, and product teams to create the next generation of AI innovation in our products and services.
Support and develop a thriving applied science culture within the MSAI organization to encourage experimentation, scientific process, and innovation.