Applied Scientist Student Worker

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Are you passionate about artificial intelligence and its potential to revolutionize industries and enhance human experiences? Do you want to work with a team of world-class AI researchers and engineers? Microsoft is seeking talented and motivated students to join our AI team for an exciting student worker opportunity.

As an AI Student Worker at Microsoft, you will have the unique opportunity to work alongside top experts in the field of artificial intelligence. You will collaborate on cutting-edge research projects and gain hands-on experience in developing AI-driven solutions that address real-world challenges. Whether you're interested in natural language processing, modern computer vision, optimizations in cloud or any other aspect related to AI, this student worker opportunity will provide you with valuable insights and skills that can jumpstart your career in this rapidly evolving field.

Read on to learn more about opportunities and apply online

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Start Date: March, 2026
**Job Type: Student Worker

*Please note that this is a part-time position.

You will be engaged 6 hours per day for 4 months.
*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 project requirements into Machine Learning (ML) tasks, design experimental process for iteration and optimization.
• Implement prototypes of scalable systems in AI applications.
• Gain an understanding of a broad area of research and applicable research techniques, as well as a basic knowledge of industry trends and share your knowledge with immediate team members.
• 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 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.

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.
• Depending on team placement, experience with C-like programming languages and ML libraries (PyTorch) may be desirable.

You must be legally authorised to work in Serbia to be eligible for this role. (Legally authorised = has citizenship or has been granted a valid visa or work permit).

Don't hesitate to apply even if you don't tick all the boxes. At Microsoft, we value growth mindset and enthusiasm towards learning. We look forward to reviewing your application.

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.