Senior Applied Scientist - Search & Recommendation

Job Description

Microsoft's mission is to empower every person and every organization on the planet to achieve more. We are looking for a scientist who can bring deep applied science expertise and a track record of shipping at-scale, AI-enabled, intelligent user-facing experiences to drive vision and execution for Microsoft 365 AI.

Microsoft believes that artificial intelligence will play a critical role in accomplishing that mission. The Microsoft Search, Assistant, and Intelligence (MSAI) group is leading this effort. We are working to change the lives and work of hundreds of millions by building deep intelligence and personalization into M365 Chat,

As an Applied Scientist in MSAI, you would work in an exciting and fast-paced environment, collaborating closely with teams across the company, including Microsoft Research. You will work as part of an organization that brings together talent in the areas of large language models, recommender systems, machine learning, deep learning, graph learning, information retrieval, software engineering, and responsible AI. We value and encourage diversity in the belief that it leads to both great workplaces and great products.

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.

• Embody our culture and values

Qualifications

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 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 related experience (e.g., statistics, predictive analytics, research)

• OR, Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related 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 with the ability to socialize and drive their ideas into technology are highly desired.
• Ph.D. preferred but not required

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.