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Applied Scientist II

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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:

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Job Description:

We are looking for a passionate and growth-oriented Applied Scientist II to join our team working on high-impact projects at the intersection of AI and software engineering. In this role, you will experiment with and fine-tuning models, to build end-to-end SaaS product scenarios enabling enterprise productivity and agents taking actions while ensuring enterprise security and governance capabilities for AI.

Job Responsibility:

  • Serve as a domain expert in machine learning, statistics, and experiment design
  • Collaborating with stakeholders to gather and understand user requirements and expectations
  • Seek and incorporate continuous feedback from users and stakeholders to iteratively improve designs and solutions
  • Build and manage large-scale AI experiments and models
  • Drive experimentation through A/B testing and offline validation to evaluate model performance
  • Collaborate across disciplines and geographies with product teams and integrate AI across product
  • Stay up to date with the research literature and product advances in AI for software engineering

Requirements:

  • Undergraduate degree in Computer Science, Engineering, Mathematics, Statistics
  • 3+ years experience with strong proficiency in Python, machine learning frameworks, and experience developing and deploying generative AI or machine learning models into production
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Nice to have:

  • Masters or PhD degree in Computer Science, Statistics, or related fields
  • Strong professional experience in statistics, machine learning, including deep learning, NLP, econometrics
  • Experience in building cloud-scale systems and experience working with open-source stacks for data processing and data science
  • Experience with LLMs in natural language, AI for code or related fields
  • Excellent communication skills, ability to present and write reports, strong teamwork and collaboration skills
  • Experience in productizing AI and collaborating with multidisciplinary teams

Additional Information:

Job Posted:
February 14, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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