INTERNSHIP DETAILS

AI Applied Sciences Internship Opportunities

CompanyMicrosoft
LocationBulgaria
Work ModeOn Site
PostedDecember 21, 2025
Internship Information
Core Responsibilities
Interns will analyze and improve the performance of advanced algorithms on large-scale datasets and contribute to the creation of intelligent solutions through data analysis and machine learning. They will also assist in the development of usable datasets for modeling purposes and support the scaling of feature ideation.
Internship Type
full time
Company Size
226388
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
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. Because impact matters. Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.
About the Role
Overview

Start Date: July, 2026 
Job Type: Internship
Program lenght: 12 weeks, full-time

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 an Applied Science Intern at Microsoft, you will be at the forefront of technological innovation, working collaboratively to bring research to life in our products and services. You'll gain expertise in cutting-edge research areas, apply advanced concepts to real-world needs, and use state-of-the-art tools to make a tangible impact on product quality and business outcomes. You'll contribute to the creation of intelligent solutions through data analysis, modeling, and machine learning, ensuring our products remain at the leading edge of innovation. 

At Microsoft, Interns work on real-world projects in collaboration with teams across the world, while having fun along the way. You’ll be empowered to build community, explore your passions and achieve your goals. This is your chance to bring your solutions and ideas to life while working on cutting-edge technology. 

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.
  • Think through the product scenarios and goals, identify key challenges, then fit the scenario asks into Machine Learning (ML) tasks, design experimental process for iteration and optimization.
  • Implement prototypes of scalable systems in AI applications.
  • Research, develop, and suggest new ideas in the implementation of AI solutions and ways of metricizing them. 
  • Research, select and apply appropriate statistical and machine learning techniques according to project goals and constraints. 
  • Prepare data to be used for analysis by reviewing criteria that reflect quality and technical constraints.
  • Reviews data and suggests data to be included and excluded and be able to describe actions taken to address data quality problems.
  • Assist with the development of usable datasets for modeling purposes and support the scaling of feature ideation and data preparation.
  • Help take cleaned data and adapt for machine learning purposes, under the direction of a senior team member.


Qualifications

✅ Required Qualifications

  • Currently pursuing a Master's degree in one of the following fields: Electrical Engineering, Computer Science, Data Science, Mathematics, Statistics, or other related fields. 
  • Analytical skills and the ability to extract insights from data as well as understanding of classical ML algorithms, neural networks and transformers.
  • Strong interpersonal (curiosity, problem-solving, collaboration) and communication skills, and passion to learn from your peers, managers, and other stakeholders in the ML domain.
  • Solid coding skills in Python or other high-level language. 
  • You must be legally authorized to work in Serbia to be eligible for this role. (Legally authorized = has citizenship or has been granted a valid visa or work permit) 

⭐ Preferred Qualifications

  • Experience in ML training, fine-tuning and evaluation techniques.
  • Experience, projects, or course work on applying ML to solve complex problems and work with various data modalities or large-scale datasets.
  • Ability to comprehend the content from academic papers in the NLP domain. 
  • Experience in an object-oriented language (e.g., C#, Java, C++,  etc.)  and ML libraries (PyTorch).
 

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.

Key Skills
Machine LearningData AnalysisStatistical TechniquesPythonCollaborationProblem SolvingCommunicationData PreparationAlgorithm OptimizationPrototypingResearchModelingNeural NetworksTransformersAI ApplicationsFeature Ideation
Categories
TechnologyData & AnalyticsEngineeringScience & ResearchSoftware