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채용Microsoft

Principal Applied Science Manager

Microsoft

Principal Applied Science Manager

Microsoft

India, Karnataka, Bangalore

·

On-site

·

Full-time

·

2mo ago

필수 스킬

Machine Learning

Natural Language Processing

Deep Learning

Large Language Models

People Management

Coding

Statistical Modelling

Predictive Analytics

Overview

Microsoft Teams is the hub for teamwork that integrates all the people, content, and tools your team needs to be more engaged and effective. It is core to Microsoft’s modern work, modern life & modern education value prop. We are reinventing the way people communicate and work together across the globe.   We own the infrastructure that enables complex orchestration of Copilot workflows to put powerful AI capabilities at the user’s fingertips.

Our team empowers users to have more effective and engaging meetings, chats, and collaborations by providing real-time assistance as well as getting information and accomplishing tasks in ways they never thought possible. We leverage the most advanced, large language models (LLMs) to develop cutting-edge Copilot products in Teams.

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 Principal Applied Science Manager in Microsoft Teams, you would work in an exciting and fast-paced environment, collaborating closely with teams across the company, including Microsoft Research and various product groups. You will work as part of an organization that brings together talent in the areas of large language models, deep 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.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

  • Manage an innovative applied science team in the area of Large Language Models, Artificial Intelligence, Machine Learning and Deep Learning.
  • Technical leadership in an applied science team in the area of Large Language Models, Natural Language Processing, Machine Learning and Deep Learning.
  • Develop and deploy conversational and language understanding models at scale.
  • Push the boundaries of AI platforms through innovation and partnership.
  • Follow and advance best practices for Responsible AI and Privacy Preserving Machine Learning.
  • Support hiring, coaching, mentoring and career development of Applied Scientists to build an inclusive and ambitious applied science team.
  • Collaborate closely with Microsoft Research and product teams to create the next generation of AI innovation in our products and services.
  • Communicate internally and externally through publication, presentations, and other media (e.g., blogs, press interviews) on research progress, major breakthroughs, and product innovation.

Qualifications Required Qualifications:

  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ 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 4+ years related experience (e.g., statistics, predictive analytics, research)

  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research).

  • OR equivalent experience.

  • 2+ year(s) of people management experience.

  • Experienced and skilled in managing research or engineering teams in Machine Learning, Natural Language Processing, or related fields.

  • Proven technical background in coding and design, specifically in the development of AI models for scaled production services.

  • Demonstrated success in shipping applied research to production, highlighting a proven track record of combining coding skills with advanced expertise in AI model development.

  • Excellent problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modelling, data mining, or machine learning algorithms.

  • Solid 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.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

  • Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)

  • OR equivalent experience.

  • 5+ years of people management 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.
    #CAPIDC #Teams

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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Microsoft 소개

Microsoft

Microsoft

Public

Microsoft Corporation is an American multinational technology conglomerate headquartered in Redmond, Washington.

10,001+

직원 수

Redmond

본사 위치

$3000B

기업 가치

리뷰

3.8

5개 리뷰

워라밸

4.1

보상

4.3

문화

3.4

커리어

3.2

경영진

3.0

65%

친구에게 추천

장점

Excellent compensation and benefits package

Four-day workweek with improved work-life balance

Supportive managers and teams

단점

High-pressure environment causing anxiety

Unprofessional interview processes

Limited creative work opportunities

연봉 정보

5,620개 데이터

Senior/L5

Senior/L5 · Account Management

5개 리포트

$209,483

총 연봉

기본급

$181,941

주식

-

보너스

-

$194,895

$209,483

면접 경험

1개 면접

난이도

4.0

/ 5

소요 기간

14-28주

경험

긍정 0%

보통 0%

부정 100%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit