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    Principal Applied Science Manager - London, United Kingdom - Microsoft

    Microsoft
    Microsoft London, United Kingdom

    1 week ago

    Default job background
    Full time
    Description

    Overview

    Microsoft's mission is to empower every person and every organization on the planet to achieve more. 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 into search-, conversational-, and knowledge-powered scenarios that people use every day in Outlook, Teams, Windows, Edge, Office, SharePoint, and OneDrive. By understanding our users' preferences, communication patterns, and context across applications, we can proactively and reactively help users accomplish more with less effort.

    We are looking for an experienced manager who can bring deep applied science expertise and a proven track record of shipping at-scale AI-enabled intelligent user-facing experiences to drive vision and execution for Microsoft 365 AI. As an Applied Science Manager in MSAI you would work in an exciting and fast-paced environment, collaborating closely with teams across the company, including Microsoft Research, Azure, and Microsoft Turing. 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.

    Qualifications

    Required Qualifications:

  • Masters/PhD in Computer Science, Math, Physics, Statistics, or related areas. Candidates with master's degree with industry experience or publication record in the areas of Large Language Models, Information Retrieval, Machine Learning, or Natural Language Processing are considered as well.
  • Proficient years managing research or engineering teams in Machine Learning, Natural Language Processing, Information Retrieval, or related fields.
  • Professional experience developing AI models for scaled production services, with a proven track record of successfully shipping applied research to production
  • Excellent problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modelling, data mining, or machine learning algorithms, especially at scale
  • Strong people leadership skills to influence others, with the ability to understand team dynamics, retain, attract, and develop team members.
  • Grounded in growth mindset, and advocate for diversity and inclusion.
  • Customer obsessed and passionate about product impact.
  • Excellent verbal and written communication skills, with the ability to simplify and explain complex ideas.

    • Preferred Qualifications:

  • Experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
  • Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
  • Experience conducting research as part of a research program (in academic or industry settings).
  • Experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.

    • #MSAI #M365Core

    Responsibilities

  • Manage innovative applied science teams in the area of Large Language Models, Information Retrieval, Artificial Intelligence, Machine Learning and Deep Learning.
  • Technical leadership in applied science teams 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.
  • Push the boundaries of AI platforms through innovation and partnership.
  • Following and advancing best practices for Responsible AI and Privacy Preserving Machine Learning.
  • Support hiring, coaching, mentoring and career development of Applied Scientists and Software Engineers to build inclusive and ambitious applied science focused teams.
  • 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 that encourages experimentation, scientific process, and innovation.
  • Communicate internally and externally through publication, presentations, and other media (e.g., blogs, press interviews) on research progress, major breakthroughs, and product innovation.
  • Internalize and champion Microsoft's culture and values.
    • Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.Industry leading healthcareEducational resourcesDiscounts on products and servicesSavings and investmentsMaternity and paternity leaveGenerous time awayGiving programsOpportunities to network and connect
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