Data

Research & Development

Fortune 500

Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. When we show up, we achieve more together. 

Microsoft operates in 190 countries and is made up of more than 220,000 passionate employees worldwide.

Technology

Microsoft

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. 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 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. * Come up with evaluation techniques, datasets, criteria and metrics for model evaluations. These are often SOTA models or metrics / datasets. * 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. Qualifications Required Qualifications: * Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research) * OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field * OR equivalent experience. * Prior experience with data analysis or understanding, looking at data from a large scale systems to identify patterns or create evaluation datasets. * 2+ years of industrial experience coding in C++, C#, C, Java or Python. * Familiarity with common machine learning, deep learning frameworks and concepts, using use of LLMs, prompting. Preferred Qualifications * Experience in pytorch or tensorflow. * Ability and effectiveness working end-to-end in a challenging technical problem domain (plan, design, execution, continuous release, and service operation). * Experience in applying deep learning techniques and drive end-to-end AI product development (Search, Recommendation, NLP, Document Understanding, etc). * 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 #MSAI #MSTuring #Turing #msturingjobs 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.

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.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.ResponsibilitiesAs 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. * Come up with evaluation techniques, datasets, criteria and metrics for model evaluations. These are often SOTA models or metrics / datasets. * 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.QualificationsRequired Qualifications: * Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research)    * OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field    * OR equivalent experience. * Prior experience with data analysis or understanding, looking at data from a large scale systems to identify patterns or create evaluation datasets. * 2+ years of industrial experience coding in C++, C#, C, Java or Python. * Familiarity with common machine learning, deep learning frameworks and concepts, using use of LLMs, prompting.   Preferred Qualifications * Experience in pytorch or tensorflow. * Ability and effectiveness working end-to-end in a challenging technical problem domain (plan, design, execution, continuous release, and service operation). * Experience in applying deep learning techniques and drive end-to-end AI product development (Search, Recommendation, NLP, Document Understanding, etc). * 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 #MSAI #MSTuring #Turing #msturingjobsMicrosoft 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.

Applied Scientist - Microsoft

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.&lt;br&gt;&lt;br&gt;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.&lt;br&gt;&lt;br&gt;&lt;strong&gt;Responsibilities&lt;br&gt;&lt;br&gt;&lt;/strong&gt;As an Applied Scientist on our team, you'll be responsible for and will engage in:&lt;br&gt;&lt;br&gt;&lt;ul&gt;&lt;li&gt; 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.&lt;/li&gt;&lt;li&gt; Come up with evaluation techniques, datasets, criteria and metrics for model evaluations. These are often SOTA models or metrics / datasets. &lt;/li&gt;&lt;li&gt;Hands on own the fine-tuning, use of language models, including dataset creation, filtering, review, and continuous iteration.&lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;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.&lt;br&gt;&lt;br&gt;&lt;strong&gt;Qualifications&lt;br&gt;&lt;br&gt;&lt;/strong&gt;&lt;strong&gt;Required Qualifications:&lt;br&gt;&lt;br&gt;&lt;/strong&gt;&lt;ul&gt;&lt;li&gt;Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)&lt;/li&gt;&lt;ul&gt;&lt;li&gt;OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)&lt;/li&gt;&lt;li&gt;OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field&lt;/li&gt;&lt;li&gt;OR equivalent experience.&lt;/li&gt;&lt;/ul&gt;&lt;li&gt;Prior experience with data analysis or understanding, looking at data from a large scale systems to identify patterns or create evaluation datasets. &lt;/li&gt;&lt;li&gt;2+ years of industrial experience coding in C++, C#, C, Java or Python. &lt;/li&gt;&lt;li&gt;Familiarity with common machine learning, deep learning frameworks and concepts, using use of LLMs, prompting.&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;&lt;strong&gt;Preferred Qualifications&lt;br&gt;&lt;br&gt;&lt;/strong&gt;&lt;ul&gt;&lt;li&gt;Experience in pytorch or tensorflow.&lt;/li&gt;&lt;li&gt;Ability and effectiveness working end-to-end in a challenging technical problem domain (plan, design, execution, continuous release, and service operation). &lt;/li&gt;&lt;li&gt;Experience in applying deep learning techniques and drive end-to-end AI product development (Search, Recommendation, NLP, Document Understanding, etc). &lt;/li&gt;&lt;li&gt;Experience with Azure or any other cloud pipelines or execution graphs. &lt;/li&gt;&lt;li&gt;Self-driven, results oriented, high integrity, ability to work collaboratively, solve problems with groups, find win/win solutions and celebrate successes. &lt;/li&gt;&lt;li&gt;Customer/End-result/Metrics driven in design and development. &lt;/li&gt;&lt;li&gt;Keen ability and motivation to learn, enter new domains, and manage through ambiguity. &lt;/li&gt;&lt;li&gt;Solid publication track records at top conferences like ACL, EMNLP, SIGKDD, AAAI, WSDM, COLING, WWW, NIPS, ICASSP, etc.. &lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;#M365CORE #MSAI #MSTuring #Turing #msturingjobs&lt;br&gt;&lt;br&gt;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.

Applied Scientist

Requirements

Responsibilities

Microsoft

Mission & Purpose