applied scientist

Microsoft

<div></div><div><h1 class="jobSectionHeader"><b>Applied Scientist 2</b></h1><div><div><p>
Bangalore, Karnataka, India</p></div></div><p></p><div><div><div><div><br>
Date posted</div><div><b>
Sep 04, 2025</b></div></div></div><div><div><div>
Job number</div><div><b>
1871587</b></div></div></div><div><div><div>
Work site</div><div><b>
Up to 50% work from home</b></div></div></div><div><div><div>
Travel</div><div><b>
25-50</b><b> </b><b>%</b></div></div></div><div><div><div>
Role type</div><div><b>
Individual Contributor</b></div></div></div><div><div><div>
Profession</div><div><b>
Research, Applied, &amp; Data Sciences</b></div></div></div><div><div><div>
Discipline</div><div><b>
Applied Sciences</b></div></div></div><div><div><div>
Employment type</div><div><b>
Full-Time</b></div></div></div></div><div></div><div><div><div><h3 class="jobSectionHeader"><b>
Overview</b></h3><div><p>
The Data and Artificial Intelligence team in Microsoft&rsquo;s Developer Division, part of newly formed CoreAI group, is working on the future of AI for Developers! We are a diverse, entrepreneurial and multi-disciplinary group of scientists, researchers and engineers with passion for using AI to improve the productivity of millions of developers around the world. We have released AI for code advancements in Github Copilot, VS Code, Visual Studio and other Microsoft Copilots.</p><p></p><p><br>
We are looking for a passionate and growth-oriented <b>Applied Scientist</b><b> II</b> to join our team working on high-impact projects at the intersection of AI and software engineering. As an Applied Scientist, you will play a pivotal role in development and application of advanced data science techniques&mdash;especially those involving LLMs&mdash;to real-world developer workflows. You&rsquo;ll collaborate closely with data scientists, engineers, researchers, and product teams across Microsoft and GitHub to shape the next generation of AI-powered developer workflows. You will have the opportunity to design and lead experiments, build and evaluate state-of-the-art models (including RAG pipelines, finetuning and evaluation frameworks), turning insights into scalable product features. Most importantly, you&rsquo;ll play a key role in bridging cutting-edge research and production, using data to inform decisions, drive iteration, and deliver measurable impact at scale.</p><p>
Microsoft&rsquo;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.</p></div></div></div><div><div><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><div><div><b>
Required</b><b> </b><b>Minimum Qualifications:</b></div><ul><li>
Undergraduate degree in Computer Science, Engineering, Mathematics, Statistics.</li></ul><ul><li>
5+ years experience with strong proficiency in Python, machine learning frameworks<b>,</b> and experience developing and deploying generative AI or machine learning models into production. (Experience with additional programming languages is a plus but not required.)</li></ul><div></div><div><b><br>
Preferred Qualifications</b></div><ul><li>
Masters or PhD degree in Computer Science, Statistics, or related fields (undergraduates with significant appropriate experience will be considered).</li></ul><ul><li>
Strong professional experience in statistics, machine learning, including deep learning, NLP, econometrics.</li></ul><ul><li>
Experience in building cloud-scale systems and experience working with open-source stacks for data processing and data science is desirable.</li></ul><ul><li>
Experience with LLMs in natural language, AI for code or related fields</li></ul><ul><li>
Excellent communication skills, ability to present and write reports, strong teamwork and collaboration skills.</li></ul><ul><li>
Experience in productizing AI and collaborating with multidisciplinary teams.</li></ul></div></div></div><div></div><div><div><h3 class="jobSectionHeader"><b><br>
Responsibilities</b></h3><div><ul><li>
Research and productization of state-of-the-art in AI for Software Engineering.</li></ul><ul><li>
Build and manage large-scale AI experiments and models.</li></ul><ul><li>
Drive experimentation through A/B testing and offline validation to evaluate model performance.</li></ul><ul><li>
Collaborate across disciplines and geographies with product teams in Microsoft and Github, integrate AI across software development stack for Copilot.</li></ul><ul><li>
Stay up to date with the research literature and product advances in AI for software engineering</li></ul></div></div></div></div><p></p><div><div><div><br>
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.</div></div><div><div><div>
&#60116;</div>Industry leading healthcare</div><div><div>
&#59326;</div>Educational resources</div><div><div>
&#59628;</div>Discounts on products and services</div><div><div>
&#60157;</div>Savings and investments</div><div><div>
&#63586;</div>Maternity and paternity leave</div><div><div>
&#59927;</div>Generous time away</div><div><div>
&#60241;</div>Giving programs</div><div><div>
&#61396;</div>Opportunities to network and connect</div></div></div><div></div><div><div><div>
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.</div></div></div></div><p></p>

Applied Scientist 2

<div></div><div><h1 class="jobSectionHeader"><b>Senior Applied Scientist</b></h1><div><div><p>
Bangalore, Karnataka, India</p></div></div><p></p><div><div><div><div><br>
Date posted</div><div><b>
Sep 04, 2025</b></div></div></div><div><div><div>
Job number</div><div><b>
1871583</b></div></div></div><div><div><div>
Work site</div><div><b>
Up to 50% work from home</b></div></div></div><div><div><div>
Travel</div><div><b>
25-50</b><b> </b><b>%</b></div></div></div><div><div><div>
Role type</div><div><b>
Individual Contributor</b></div></div></div><div><div><div>
Profession</div><div><b>
Research, Applied, &amp; Data Sciences</b></div></div></div><div><div><div>
Discipline</div><div><b>
Applied Sciences</b></div></div></div><div><div><div>
Employment type</div><div><b>
Full-Time</b></div></div></div></div><div></div><div><div><div><h3 class="jobSectionHeader"><b>
Overview</b></h3><div><p>
The Data and Artificial Intelligence team in Microsoft&rsquo;s Developer Division, part of newly formed CoreAI group, is working on the future of AI for Developers! We are a diverse, entrepreneurial and multi-disciplinary group of scientists, researchers and engineers with passion for using AI to improve the productivity of millions of developers around the world. We have released AI for code advancements in Github Copilot, VS Code, Visual Studio and other Microsoft Copilots.</p><p></p><p><br>
We are looking for a passionate and growth-oriented <b>Senior Applied Scientist</b> to join our team working on high-impact projects at the intersection of AI and software engineering. As an Applied Scientist, you will play a pivotal role in development and application of advanced data science techniques&mdash;especially those involving LLMs&mdash;to real-world developer workflows. You&rsquo;ll collaborate closely with data scientists, engineers, researchers, and product teams across Microsoft and GitHub to shape the next generation of AI-powered developer workflows. You will have the opportunity to design and lead experiments, build and evaluate state-of-the-art models (including RAG pipelines, finetuning and evaluation frameworks), turning insights into scalable product features. Most importantly, you&rsquo;ll play a key role in bridging cutting-edge research and production, using data to inform decisions, drive iteration, and deliver measurable impact at scale.</p><p>
Microsoft&rsquo;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.</p></div></div></div><div><div><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><div><div><b>
Required</b><b> </b><b>Minimum Qualifications:</b></div><ul><li>
Undergraduate degree in Computer Science, Engineering, Mathematics, Statistics.</li></ul><ul><li>
6+ years experience with strong proficiency in Python, machine learning frameworks<b>,</b> and experience developing and deploying generative AI or machine learning models into production. (Experience with additional programming languages is a plus but not required.)</li></ul><div></div><div><b><br>
Preferred Qualifications</b></div><ul><li>
Masters or PhD degree in Computer Science, Statistics, or related fields (undergraduates with significant appropriate experience will be considered).</li></ul><ul><li>
Strong professional experience in statistics, machine learning, including deep learning, NLP, econometrics.</li></ul><ul><li>
Experience in building cloud-scale systems and experience working with open-source stacks for data processing and data science is desirable.</li></ul><ul><li>
Experience with LLMs in natural language, AI for code or related fields</li></ul><ul><li>
Excellent communication skills, ability to present and write reports, strong teamwork and collaboration skills.</li></ul><ul><li>
Experience in productizing AI and collaborating with multidisciplinary teams.</li></ul></div></div></div><div></div><div><div><h3 class="jobSectionHeader"><b><br>
Responsibilities</b></h3><div><ul><li>
Research and productization of state-of-the-art in AI for Software Engineering.</li></ul><ul><li>
Build and manage large-scale AI experiments and models.</li></ul><ul><li>
Drive experimentation through A/B testing and offline validation to evaluate model performance.</li></ul><ul><li>
Collaborate across disciplines and geographies with product teams in Microsoft and Github, integrate AI across software development stack for Copilot.</li></ul><ul><li>
Stay up to date with the research literature and product advances in AI for software engineering</li></ul></div></div></div></div><p></p><div><div><div><br>
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.</div></div><div><div><div>
&#60116;</div>Industry leading healthcare</div><div><div>
&#59326;</div>Educational resources</div><div><div>
&#59628;</div>Discounts on products and services</div><div><div>
&#60157;</div>Savings and investments</div><div><div>
&#63586;</div>Maternity and paternity leave</div><div><div>
&#59927;</div>Generous time away</div><div><div>
&#60241;</div>Giving programs</div><div><div>
&#61396;</div>Opportunities to network and connect</div></div></div><div></div><div><div><div>
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.</div></div></div></div><p></p>

Senior Applied Scientist

<div>
 The information extraction team in shopping is seeking a highly motivated and talented
 <strong>
  Applied Scientist
 </strong>
 to work on cutting-edge technologies in the field of information extraction in the shopping domain.
 <br/>
 <br/>
 As an Applied Scientist you will gain extensive experience in information extraction using the latest AI advances and LLMs. You will gain valuable experience in building real-world information extraction systems at a Web scale. This opportunity will allow you to use cutting-edge AI technologies, accelerate your career growth and develop deep business acumen.
 <br/>
 <br/>
 Microsoft&rsquo;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.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You will gain a basic understanding of a broad area of research and applicable research techniques. You&rsquo;ll also develop a basic knowledge of industry trends and share your knowledge with immediate team members.
  </li>
  <li>
   You will apply strategies provided by senior team members. Following guidance from team leaders, you&rsquo;ll also research relevant tools and technologies being used in the community.
  </li>
  <li>
   You will reinforce a positive environment by learning and adopting best practices. Additionally, you will also maintain or develop ties with an external network of peers and identify prospective talent for Microsoft research pipelines when asked.
  </li>
  <li>
   You will assist with documentation for senior team members, as needed.
  </li>
  <li>
   You will also learn and follow ethics and privacy policies while executing research processes or collecting information.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  Required Qualifcations:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's Degree in Computer Science, Electrical or Computer Engineering or related field AND relevant internship experience (e.g., statistics, predictive analytics, research)
  </li>
  <ul>
   <li>
    OR Master's Degree in Computer Science, Electrical or Computer Engineering, or related field
   </li>
   <li>
    OR equivalent experience.
   </li>
  </ul>
  <li>
   You must be legally authorised to work in Egypt to be eligible for this role (Legally authorised = has citizenship or has been granted a valid visa or work permit)
  </li>
  <li>
   Fluency in English
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's Degree in Computer Science, Electrical or Computer Engineering,
  </li>
  <ul>
   <li>
    OR related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
   </li>
   <li>
    OR Master's Degree in Computer Science, Electrical or Computer Engineering, or related field
   </li>
   <li>
    OR equivalent experience.
   </li>
  </ul>
  <li>
   Solid machine learning/AI/LLM knowledge.
  </li>
  <li>
   Experience building and deploying ML/Ai systems including investigation, prototyping, deployment and continuous measurement.
  </li>
  <li>
   Solid knowledge of python/other ML languages and frameworks.
   <br/>
  </li>
 </ul>
 #MicrosoftAI #LLMs #InformationExtraction #WebScale #Shopping
 <br/>
 <br/>
 Microsoft is an equal opportunity employer. Consistent with applicable law, 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.
</div>


Applied Scientist

<div></div><div><h1 class="jobSectionHeader"><b>Applied Scientist</b></h1><div><div><p>
Cairo, Egypt</p></div></div><p></p><div><div><div><div><br>
Date posted</div><div><b>
Sep 02, 2025</b></div></div></div><div><div><div>
Job number</div><div><b>
1863248</b></div></div></div><div><div><div>
Work site</div><div><b>
Up to 50% work from home</b></div></div></div><div><div><div>
Travel</div><div><b>
0-25</b><b> </b><b>%</b></div></div></div><div><div><div>
Role type</div><div><b>
Individual Contributor</b></div></div></div><div><div><div>
Profession</div><div><b>
Research, Applied, &amp; Data Sciences</b></div></div></div><div><div><div>
Discipline</div><div><b>
Applied Sciences</b></div></div></div><div><div><div>
Employment type</div><div><b>
Full-Time</b></div></div></div></div><div></div><div><div><div><h3 class="jobSectionHeader"><b>
Overview</b></h3><div><div>
The information extraction team in shopping is seeking a highly motivated and talented <b>Applied Scientist</b> to work on cutting-edge technologies in the field of information extraction in the shopping domain.</div><div><br>
As an Applied Scientist you will gain extensive experience in information extraction using the latest AI advances and LLMs. You will gain valuable experience in building real-world information extraction systems at a Web scale. This opportunity will allow you to use cutting-edge AI technologies, accelerate your career growth and develop deep business acumen.<br>
<br>
Microsoft&rsquo;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.</div></div></div></div><div><div><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><div><div><b>
Required Qualifcations:</b></div><ul><li>
Bachelor's Degree in Computer Science, Electrical or Computer Engineering or related field AND relevant internship experience (e.g., statistics, predictive analytics, research)<br>
<ul><li>
OR Master's Degree in Computer Science, Electrical or Computer Engineering, or related field<br>
</li><li>
OR equivalent experience.</li></ul></li><li>
You must be legally authorised to work in Egypt to be eligible for this role (Legally authorised = has citizenship or has been granted a valid visa or work permit)</li><li>
Fluency in English</li></ul><div><b>
Preferred Qualifications:</b></div><ul><li>
Bachelor's Degree in Computer Science, Electrical or Computer Engineering,<br>
<ul><li>
OR related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)<br>
</li><li>
OR Master's Degree in Computer Science, Electrical or Computer Engineering, or related field<br>
</li><li>
OR equivalent experience.<br>
</li></ul></li><li>
Solid machine learning/AI/LLM knowledge.</li><li>
Experience building and deploying ML/Ai systems including investigation, prototyping, deployment and continuous measurement.<br>
</li><li>
Solid knowledge of python/other ML languages and frameworks.</li></ul><div></div><div><br>
#MicrosoftAI #LLMs #InformationExtraction #WebScale #Shopping</div></div></div></div><div><div><h3 class="jobSectionHeader"><b>
Responsibilities</b></h3><div><ul><li>
You will gain a basic understanding of a broad area of research and applicable research techniques. You&rsquo;ll also develop a basic knowledge of industry trends and share your knowledge with immediate team members.</li><li>
You will apply strategies provided by senior team members. Following guidance from team leaders, you&rsquo;ll also research relevant tools and technologies being used in the community.</li><li>
You will reinforce a positive environment by learning and adopting best practices. Additionally, you will also maintain or develop ties with an external network of peers and identify prospective talent for Microsoft research pipelines when asked.</li><li>
You will assist with documentation for senior team members, as needed.
</li><li>You will also learn and follow ethics and privacy policies while executing research processes or collecting information.</li></ul></div></div></div></div><div></div><div><div><div>
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.</div></div><div><div><div>
&#60116;</div>Industry leading healthcare</div><div><div>
&#59326;</div>Educational resources</div><div><div>
&#59628;</div>Discounts on products and services</div><div><div>
&#60157;</div>Savings and investments</div><div><div>
&#63586;</div>Maternity and paternity leave</div><div><div>
&#59927;</div>Generous time away</div><div><div>
&#60241;</div>Giving programs</div><div><div>
&#61396;</div>Opportunities to network and connect</div></div></div><div></div><div><div><div>
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.</div></div></div></div><p></p>

<div></div><div><h1 class="jobSectionHeader"><b>Principal Applied Scientist</b></h1><div><div><p>
Bangalore, Karnataka, India</p></div></div><p></p><div><div><div><div><br>
Date posted</div><div><b>
Sep 04, 2025</b></div></div></div><div><div><div>
Job number</div><div><b>
1871582</b></div></div></div><div><div><div>
Work site</div><div><b>
Up to 50% work from home</b></div></div></div><div><div><div>
Travel</div><div><b>
25-50</b><b> </b><b>%</b></div></div></div><div><div><div>
Role type</div><div><b>
Individual Contributor</b></div></div></div><div><div><div>
Profession</div><div><b>
Research, Applied, &amp; Data Sciences</b></div></div></div><div><div><div>
Discipline</div><div><b>
Applied Sciences</b></div></div></div><div><div><div>
Employment type</div><div><b>
Full-Time</b></div></div></div></div><div></div><div><div><div><h3 class="jobSectionHeader"><b>
Overview</b></h3><div><p>
The Data and Artificial Intelligence team in Microsoft&rsquo;s Developer Division, part of newly formed CoreAI group, is working on the future of AI for Developers! We are a diverse, entrepreneurial and multi-disciplinary group of scientists, researchers and engineers with passion for using AI to improve the productivity of millions of developers around the world. We have released AI for code advancements in Github Copilot, VS Code, Visual Studio and other Microsoft Copilots.</p><p>
We are seeking a <b>Principal Data &amp; Applied Scien</b><b>tist</b> to work on groundbreaking and high-impact projects at the intersection of AI and software engineering. In this role, you will drive the development and application of advanced data science techniques&mdash;especially those involving LLMs&mdash;to real-world developer workflows. You&rsquo;ll collaborate closely with data scientists, engineers, researchers, and product teams across Microsoft and GitHub to shape the next generation of AI-powered developer workflows. You will have the opportunity to design and lead experiments, build and evaluate state-of-the-art models (including RAG pipelines, finetuning and evaluation frameworks), and turn insights into scalable product features. Most importantly, you&rsquo;ll play a key role in bridging cutting-edge research and production, using data to inform decisions, drive iteration, and deliver measurable impact at scale.</p><p>
Microsoft&rsquo;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.</p></div></div></div><div><div><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><div><div><b>
Required/Minimum Qualifications:</b></div><ul><li>
Undergraduate degree in Computer Science, Engineering, Mathematics, Statistics.</li></ul><ul><li>
10+ years experience with strong proficiency in Python, machine learning frameworks<b>,</b> and experience developing and deploying generative AI or machine learning models into production. (Experience with additional programming languages is a plus but not required.)</li></ul><div></div><div><b><br>
Preferred Qualifications</b></div><ul><li>
Masters or PhD degree in Computer Science, Statistics, or related fields (undergraduates with significant appropriate experience will be considered).</li></ul><ul><li>
Strong professional experience in statistics, machine learning, including deep learning, NLP, econometrics.</li></ul><ul><li>
Experience in building cloud-scale systems and experience working with open-source stacks for data processing and data science is desirable.</li></ul><ul><li>
Experience with LLMs in natural language, AI for code or related fields</li></ul><ul><li>
Excellent communication skills, ability to present and write reports, strong teamwork and collaboration skills.</li></ul><ul><li>
Experience in productizing AI and collaborating with multidisciplinary teams.</li></ul></div></div></div><div></div><div><div><h3 class="jobSectionHeader"><b><br>
Responsibilities</b></h3><div><ul><li>
Lead research and productization of state-of-the-art in AI for Software Engineering</li></ul><ul><li>
Build and manage large-scale AI experiments and models.</li></ul><ul><li>
Drive experimentation through A/B testing and offline validation to evaluate model performance.</li></ul><ul><li>
Collaborate across disciplines and geographies with product teams in Microsoft and Github</li></ul><ul><li>
Stay up to date with the research literature and product advances in AI for software engineering</li></ul><ul><li>
Collaborate with world renowned experts in programming tools and developer tools to integrate AI across software development stack for Copilot</li></ul><ul><li>
Lead others by exemplifying growth mindset, inclusiveness, teamwork, and customer obsession</li></ul></div></div></div></div><div></div><div><div><div>
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.</div></div><div><div><div>
&#60116;</div>Industry leading healthcare</div><div><div>
&#59326;</div>Educational resources</div><div><div>
&#59628;</div>Discounts on products and services</div><div><div>
&#60157;</div>Savings and investments</div><div><div>
&#63586;</div>Maternity and paternity leave</div><div><div>
&#59927;</div>Generous time away</div><div><div>
&#60241;</div>Giving programs</div><div><div>
&#61396;</div>Opportunities to network and connect</div></div></div><div></div><div><div><div>
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.</div></div></div></div><p></p>

Principal Applied Scientist

<div><div>Are you interested in developing next-generation visual/screen models? Our team is at the forefront in redefining the PC with Copilot+ AI-powered capabilities that are intelligent, secure, and efficient. We&rsquo;re building a faster, more intuitive, and human-centric computing future.</div><div></div><div><br>
We are seeking a highly motivated <b>Senior Applied Scientist</b> to join our team in building cutting-edge visual models optimized for on-device inference. This role is ideal for candidates passionate about deep learning, model optimization, and deploying efficient AI solutions on constrained hardware platforms.</div><div><br>
As a Senior Applied Scientist, you will work with a cross-functional team to bring vision and UI-centric models to life by training models, developing datasets for training/evaluation, and balancing requirements including inference time, power consumption, and model accuracy. This opportunity will allow you to grow your capabilities with deep learning, model optimization, and deploying efficient AI solutions on constrained hardware platforms.</div><div><br>
Microsoft&rsquo;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.</div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul><li>
Be part of a team contributing to pre- and post-training efforts for visual models pertaining to screen understanding.</li><li>
Explore and implement Transformer-based architectures and suggest architectural improvements for efficiency and scalability.</li><li>
Use techniques like distillation, adapters, and Low Rank Adapters (LoRAs) to build upon existing models.</li><li>
Optimize models for on-device inference using techniques such as quantization and debugging models.</li>
Conduct performance tuning and model evaluation across diverse silicon platforms (e.g., Neural Processing Units<li>-NPUs, GPUs, custom accelerators).</li><li>
Collaborate with cross-functional teams to integrate models into production pipelines and validate performance in real-world scenarios.</li><li>
Contribute to internal model libraries and tooling for deployment across multiple hardware toolchains.</li><li>
Embody our Culture and Values.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><div><b>
Required Qualifications:</b></div><ul><li><div>
Bachelor'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)</div><ul><li><div>
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)</div></li><li><div>
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)</div></li><li><div>
OR equivalent experience.</div></li></ul></li><li>
Solid experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and model compression techniques.</li><li>
Experience with model evaluation metrics and benchmarking across platforms.</li></ul><div><b>
Preferred Qualifications:</b></div><ul><li><div>
Prior experience training models with custom architectures and tuning architectures to optimize for inference time.</div></li><li>
Proven track record in quantization, performance tuning, and deploying models on edge devices.<br>
</li><li>
Familiarity with silicon-specific optimization strategies.<br>
</li><li>
Hands-on experience with Qualcomm QNN, Intel OpenVINO, or similar toolchains.</li></ul><div>
Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.<br>
<br>
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay<br>
<br>
Microsoft will accept applications for the role until September 14, 2025.</div><div></div><div><br>
#W+DJOBS</div><div>
#ASG</div>
Microsoft is an equal opportunity employer. Consistent with applicable law, 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.</div>

<div></div><div><h1 class="jobSectionHeader"><b>Principal Applied Scientist</b></h1><div><div><p>
Hyderabad, Telangana, India</p></div></div><p></p><div><div><div><div><br>
Date posted</div><div><b>
Sep 02, 2025</b></div></div></div><div><div><div>
Job number</div><div><b>
1868066</b></div></div></div><div><div><div>
Work site</div><div><b>
Microsoft on-site only</b></div></div></div><div><div><div>
Travel</div><div><b>
0-25</b><b> </b><b>%</b></div></div></div><div><div><div>
Role type</div><div><b>
Individual Contributor</b></div></div></div><div><div><div>
Profession</div><div><b>
Software Engineering</b></div></div></div><div><div><div>
Discipline</div><div><b>
Software Engineering</b></div></div></div><div><div><div>
Employment type</div><div><b>
Full-Time</b></div></div></div></div><div></div><div><div><div><h3 class="jobSectionHeader"><b>
Overview</b></h3><div><div><b>
Be the voice behind the future&mdash;join us to build transformative speech technology for multilingual, intelligent experiences that reach billions.</b></div><div><br>
<br>
Microsoft is pioneering next-generation AI-driven speech solutions for voice agents, video translation, and call centre analytics.</div><div></div><div><br>
As a <b>Principal Applied Scientist</b> in Microsoft&rsquo;s <b>Azure Speech team</b>, you will lead the development of advanced multilingual speech models, AOAI finetuning and multimodal generative AI powering real-time transcription, intelligent voice agents, and multilingual dubbing across Microsoft products and enterprise solutions. Your work will impact millions&mdash;enabling next-generation human&ndash;machine experiences for diverse markets, with a special focus on India.</div><div>
In this strategic role, you will set technical direction and drive innovation in speech recognition, AOAI customisation, and generative AI. You&rsquo;ll collaborate with top scientists and engineers to scale model quality and deliver breakthrough technologies for voice agents, video translation, and call centre analytics.</div><div>
Based in <b>Hyderabad</b>, this on-site role offers opportunities to mentor, grow, and shape the future of multimodal interaction for Indian and global audiences.</div><div>
Microsoft&rsquo;s mission is to empower every person and organisation to achieve more. We embrace a growth mindset and encourage teams and leaders to bring their best. Join us to shape the future of speech and multimodal LLM technology.</div></div></div></div><div><div><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><div><p><b>
Required Qualifications:</b></p><ul><li>
BS/MS/PhD Degree in CS/EE or related fields with focus in machine learning, AI, or speech technologies.</li></ul><ul><li>
10+ years of experience in speech or machine learning in academic or industrial setting, or 10+ years&rsquo; experience in software development skills and aptitude for software design, coding and quality.</li></ul><ul><li>
Demonstration of excellent problem-solving skills in speech and machine learning areas</li></ul><ul><li>
Proven track record of delivering impactful results and high-quality solutions in complex technical environments.</li></ul><ul><li>
Strong programming skills in Python, C++ or similar languages, with experience in large-scale data processing and distributed computing.</li></ul><ul><li>
Effective communication skills, both verbal and written.</li></ul><p></p><p><b><br>
Preferred Qualifications:</b></p><ul><li>
Experience with speech/audio processing, multilingual model development, or voice agent technologies.</li></ul><ul><li>
Familiarity with Azure, cloud-based AI platforms, or enterprise-scale deployment of speech solutions.</li></ul><ul><li>
Contributions to open-source projects, patents, or publications in top-tier conferences/journals.</li></ul><ul><li>
Demonstrated leadership in driving technical direction, influencing cross-functional teams, and mentoring peers.</li></ul><div></div><div><b><br>
Inclusivity &amp; Compliance:</b></div><ul><li>
Commitment to fostering an inclusive, growth-oriented team culture.</li></ul><ul><li>
Adherence to Microsoft&rsquo;s EEO and diversity guidelines.</li></ul><div></div><div><br>
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.</div></div></div></div><div><div><h3 class="jobSectionHeader"><b>
Responsibilities</b></h3><div><p><b>
Responsibilities</b><b>:</b></p><ul><li>
Deliver world-class and transformative speech solutions for Microsoft 1st party and 3rd party products and services.</li></ul><ul><li>
Set technical directions in multilingual speech model, speech LLMs, model customization and impact accuracy, latency, and compute.</li></ul><ul><li>
Build novel data generation solutions to synthesize complex speech scenarios and finetune models.</li></ul><ul><li>
Build data analysis metrics and solutions to understand the model results, identify gaps, and guide solutions.</li></ul><ul><li>
Collaborate with the global Microsoft team, drive innovative solutions for significant customer asks, and deliver sustained large impacts.</li></ul><ul><li>
Mentor and influence peers, sharing expertise and fostering a growth-oriented inclusive team culture.</li></ul><ul><li>
Contribute to patents and publications at top-tier conferences and represent the team&rsquo;s technical leadership within and outside Microsoft.</li></ul></div></div></div></div><div></div><div><div><div>
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.</div></div><div><div><div>
&#60116;</div>Industry leading healthcare</div><div><div>
&#59326;</div>Educational resources</div><div><div>
&#59628;</div>Discounts on products and services</div><div><div>
&#60157;</div>Savings and investments</div><div><div>
&#63586;</div>Maternity and paternity leave</div><div><div>
&#59927;</div>Generous time away</div><div><div>
&#60241;</div>Giving programs</div><div><div>
&#61396;</div>Opportunities to network and connect</div></div></div><div></div><div><div><div>
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.</div></div></div></div><p></p>

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