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Principal Applied Scientist

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Microsoft Corporation

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Location:
India , Bangalore

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

What if your job description were simply “make tomorrow better?” Every day at Microsoft, we bring an insatiable curiosity to the workplace, challenging ourselves to reimagine what it is and what it can be. We build on what’s come before to create what’s next. We help shape the future and we empower billions of people around the globe. We are the computational advertising team in the AI & Research organization at Microsoft. We are looking for candidates with research and applied experience in machine learning related areas. Search advertising is a $100 billion market worldwide. Microsoft's Bing search engine supports over 30% of desktop search in the US, with similarly significant presence in many other countries.

Job Responsibility:

  • Design, implement, analyze, tune complex algorithms and ML systems and the supporting infrastructure for operating on large datasets
  • Collaborate with top machine learning scientists and engineers in delivering direct business impact
  • Building large-scale machine learning systems for ad matching, filtration, ranking, and multi objective optimization, and several other ML-driven business problems

Requirements:

  • MS/BS in CS/EE, mathematical or machine learning related disciplines, with 10 or more years of experience
  • Solid understanding of probability, statistics, machine learning, data science
  • A/B testing & analysis of ML models, and optimizing models for accuracy
  • Experience with Hadoop, Spark, or other distributed computing systems for large-scale training & prediction with ML models
  • End-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production
  • Experience implementing machine learning algorithms or research papers from scratch

Nice to have:

Experience with TensorFlow/PyTorch and deep learning models is a plus

Additional Information:

Job Posted:
January 06, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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