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Microsoft
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Senior Applied Scientist

Senior Applied Scientist

Microsoft

5 years

0 Lacs

Bengaluru, Karnataka

Posted:1 day ago| Platform: Indeed logo

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Skills Required

research data learning engineering timeline training evaluation integrity statistics econometrics electrical analytics coding java analysis pytorch tensorflow security effectiveness design service drive ai development azure metrics experimentation shipping model pipeline tuning dataset filtering collaboration scalability network regulations

Work Mode

Remote

Job Type

Full Time

Job Description

Senior Applied Scientist

Bangalore, Karnataka, India

Date posted

Aug 01, 2025

Job number

1854651

Work site

Up to 50% work from home

Travel

0-25 %

Role type

Individual Contributor

Profession

Research, Applied, & Data Sciences

Discipline

Applied Sciences

Employment type

Full-Time

Overview

Do you want to be part of a team which delivers innovative products and machine learning solutions across Microsoft to hundreds of millions of users every month? Microsoft Turing team is an innovative engineering and applied research team working on state-of-the-art deep learning models, large language models and pioneering conversational search experiences. The team spearheads the platform and innovation for conversational search and the core copilot experiences across Microsoft’s ecosystem including BizChat, Office and Windows.

As a Senior Applied Scientist in the Turing team, you will be involved in tight timeline-based hands on data science activity and work, including training models, creating evaluation sets, building infrastructure for training and evaluation, and more.

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.

Qualifications

Required Qualifications:

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ 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 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
3+ years of industrial experience coding in C++, C#, C, Java or Python.
Prior experience with data analysis or understanding, looking at data from a large scale systems to identify patterns or create evaluation datasets.
Familiarity with common machine learning, deep learning frameworks and concepts, using use of LLMs, prompting. Experience in pytorch or tensorflow is a bonus.
Ability to communicate technical details clearly across organizational boundaries.

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:

Solid ability and effectiveness working end-to-end in a challenging technical problem domain (plan, design, execution, continuous release, and service operation).
Some prior experience in applying deep learning techniques and drive end-to-end AI product development (Search, Recommendation, NLP, Document Understanding, etc).
Prior experience with Azure or any other cloud pipelines or execution graphs.
Self-driven, results oriented, high integrity, ability to work collaboratively, solve problems with groups, find win/win solutions and celebrate successes.
Customer/End-result/Metrics driven in design and development.
Keen ability and motivation to learn, enter new domains, and manage through ambiguity.
Solid publication track records at top conferences like ACL, EMNLP, SIGKDD, AAAI, WSDM, COLING, WWW, NIPS, ICASSP, etc.

#M365Core

Responsibilities

As an Applied Scientist on our team, you'll be responsible for and will engage in:

Driving projects from design through implementation, experimentation and finally shipping to our users. This requires deep dive into data to identify gaps, come up with heuristics and possible solutions, using LLMs to create the right model or evaluation prompts, and setup the engineering pipeline or infrastructure to run them.

Hands on own the fine-tuning, use of language models, including dataset creation, filtering, review, and continuous iteration.
This requires working in a diverse geographically distributed team environment where collaboration and innovation are valued. You will have an opportunity for direct impact on design, functionality, security, performance, scalability, manageability, and supportability of Microsoft products that use our deep learning technology.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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Industry leading healthcare

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Educational resources

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Discounts on products and services

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Savings and investments

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Maternity and paternity leave

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Generous time away

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Giving programs

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Opportunities to network and connect

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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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