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Job Description
- Do you want to be part of a team that delivers innovative products and machine learning solutions across Microsoft to hundreds of millions of users every month The 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. Spearheading the platform and innovation for conversational search and the core copilot experiences across Microsoft's ecosystem, including BizChat, Office, and Windows.
As an Applied Scientist- II in the Turing team, you will be involved in tight timeline-based hands-on data science activities, 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.
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 a 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 setting up the engineering pipeline or infrastructure to run them.
- Coming up with evaluation techniques, datasets, criteria, and metrics for model evaluations. These are often SOTA models or metrics/datasets.
- Hands-on ownership of 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 a direct impact on the 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.
- 2+ years of industrial experience coding in C++, C#, C, Java, or Python
- Prior experience with data analysis or understanding, looking at data from large-scale systems to identify patterns or create evaluation datasets
- Familiarity with common machine learning, deep learning frameworks and concepts, using the use of LLMs, prompting. Experience in PyTorch or TensorFlow is a bonus.
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- Ability to communicate technical details clearly across organizational boundaries.
Preferred Qualifications
- Solid ability and effectiveness working end-to-end in a challenging technical problem domain (plan, design, execution, continuous release, and service operation).
- Prior experience in applying deep learning techniques and driving 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.,
Skills
AI Product DevelopmentData AnalysisDeep LearningTensorflowTechnical CommunicationCloud PipelinesJavaCData SciencePythonLarge Language ModelsConversational SearchLLMsAzurePytorchMachine Learning FrameworksIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
Microsoft Corporation, founded in 1975 by Bill Gates and Paul Allen, is a Redmond, Washington‑based multinational technology company and one of the Big Five global tech leaders. Its mission is to empower every person and every organization on the planet to achieve more.
Microsoft develops and sells Windows operating systems, the Microsoft 365 productivity suite, Azure cloud services, and the Edge web browser. Its hardware portfolio includes Xbox gaming consoles and Surface devices.
As of 2025, Microsoft employs ~228,000 people worldwide and ~18,000–20,000 in India, with major hubs in Hyderabad, Bengaluru, Noida, and Gurugram. The company reported FY 2024 revenue of US $245 billion and a market capitalization exceeding US $2.5 trillion.
Microsoft is a leader in AI innovation with its Copilot suite integrated across products, and continues to invest in cloud computing, cybersecurity, gaming, and sustainability initiatives.
Important dates & deadlines?
Application Deadline
23 Oct 25, 05:45 PM IST
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Applied Scientist- II
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