Microsoft Logo

Microsoft

Research Sciences INTERN

Reposted 5 Days Ago
Remote
Hiring Remotely in IN
Internship
Remote
Hiring Remotely in IN
Internship
PhD intern will research and prototype AI techniques for Azure SQL Database, analyze algorithms on large datasets, build scalable ML systems, collaborate with researchers and product teams, and contribute to technology transfer and publications.
The summary above was generated by AI
Overview

Come build community, explore your passions and do your best work at Microsoft with thousands of University interns from every corner of the world. This opportunity will allow you to bring your aspirations, talent, potential—and excitement for the journey ahead.

As a Research Science PhD Intern, you will conduct research and leads research collaborations that yield new insights, theories, analyses, data, algorithms, and/or prototypes that advance the state-of-the-art of incorporating AI capabilities into Azure SQL Database platform. You will formulate research problems in an area of study and initiates the design, development, execution and implementation of a research agenda to further academic knowledge and close identified gaps and provide expertise to product or business groups and may create long-term business opportunities through research outcomes, but not responsible for addressing immediate product needs or demonstrating a clear path to product. 

We are seeking candidates excelling in deep thinking research aspects and fast-paced entrepreneurial execution, specifically in the area of databases, distributed systems and AI. The ideal candidates should have the ability to work with researchers and product team colleagues at Microsoft to push forward research agendas, being a team player in a collaborative and supportive environment with outstanding programming skills. We are seeking candidates with research skills and technical backgrounds. Applicants should demonstrate depth of knowledge in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence) as well as strong academia experience in data processing, experimentation, and modeling. 

Microsoft works with the world’s best researchers, moving with the current of technology as it rapidly evolves. Together we share the motivation to seek innovative solutions to the world’s toughest challenges and improve the lives of people everywhere. Microsoft provides a nurturing environment to support passionate researchers and engineers in AI technology innovation.

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
  • Analyze and improve performance of advanced algorithms on large-scale datasets and cutting-edge research in machine intelligence and machine learning applications. 

  • Implement prototypes of scalable systems in AI applications. 

  • Collaborate closely with team members on developing systems from prototyping to production level. 

  • Develop solutions for real world, large-scale problems. 

  • Under instruction from others, research new tools, technologies, and methods being used in the research community and contribute your knowledge around a specialized tool/method to support planning for research projects. 

  • Gain an understanding of their research as it relates to Microsoft products or business groups and assists in technology transfer attempts, participating on standards organizations, filing patents, authoring white papers, developing or maintaining tools/services for internal Microsoft use, or consulting for product or business groups. 


Qualifications

Required Qualifications (RQs) 

  • Currently pursuing a Master's or a Doctorate Degree in a relevant field 

  • Must have at least one additional quarter/semester of school remaining following the completion of the internship

Preferred Qualifications (PQs)  

  • Experience in designing scalable data systems, applying Large Language Models (LLMs) and machine learning techniques to large-scale data applications, or integrating both approaches.   

  • Experience with Demonstrated ability to develop original research agendas.  

  • Ability to collaborate effectively with other researchers and product development teams.  

  • Proficient interpersonal skills, cross-group, and cross-culture collaboration.  

  • Ability to think unconventionally to derive creative and innovative solutions.  
      

Other Requirements  

  • In addition to the qualifications above, you’ll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.


This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.



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

Microsoft Pune, Maharashtra, IND Office

Level 9, Tower 2, World Trade Centre, Kharadi, , Pune, Pune , India, 411014

Similar Jobs

17 Minutes Ago
Remote or Hybrid
India
Entry level
Entry level
Financial Services
Supports trading services from order execution through settlement, manages trade exceptions, monitors KPIs and KRIs, performs process investigations, and contributes to audit controls, business continuity planning, change management, and continuous improvement. The role requires knowledge of financial markets, automation technologies, data analysis, stakeholder management, and trading operations while working the North America/US shift.
28 Minutes Ago
Easy Apply
Remote or Hybrid
Easy Apply
Senior level
Senior level
Artificial Intelligence • Big Data • Logistics • Machine Learning • Software • Transportation
Build, deploy, monitor, and retrain machine learning models for ETA forecasting, status extraction, and logistics automation. Develop regression, classification, time-series, NLP, and LLM-based solutions using noisy supply chain data. Own production ML pipelines, diagnose offline-to-live performance gaps, and measure business impact. Collaborate with product, engineering, and operations teams while mentoring data scientists and making architecture and build-versus-buy decisions.
Top Skills: AirflowAmazon Ec2Amazon S3AWSGenaiGrafanaKafkaLlmsMachine LearningNlpPandasPythonRedshiftScikit-LearnSnowflakeSQL
29 Minutes Ago
Easy Apply
Remote or Hybrid
Easy Apply
Senior level
Senior level
Artificial Intelligence • Big Data • Logistics • Machine Learning • Software • Transportation
Build, deploy, monitor, and retrain machine learning models for ETA forecasting and message-based logistics status extraction. Own end-to-end production ML pipelines using noisy supply chain data, diagnose offline-versus-live performance gaps, and automate manual processes. Collaborate with product, engineering, and operations teams, translate model improvements into business value, make architecture tradeoffs, and mentor data scientists and engineers. Work includes NLP/LLM extraction, Airflow orchestration, Grafana observability, and scalable model deployment.
Top Skills: AirflowAmazon Ec2Amazon S3AWSGenerative AiGrafanaKafkaLlmsMachine LearningNlpPandasPythonRedshiftScikit-LearnSnowflakeSQLTime-Series Forecasting

What you need to know about the Pune Tech Scene

Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account