Microsoft Hiring Freshers for Research Sciences Intern in Bangalore (2026): Eligibility, Skills, Salary Insights & Apply Link

Computer science and related discipline candidates can apply for Microsoft Recruitment 2026. Interested and eligible candidates can read complete details below.

Microsoft Recruitment 2026:

Company Name	Microsoft
Post Name	Research Sciences Intern
Salary	Paid Internship (as per company norms)
Experience	Freshers / Students (Bachelor's or Master's in progress or completed)
Job Location	Bangalore, Karnataka (Fully On-site)
Job Number	200013369

Job Description:

Microsoft is inviting applications for the role of Research Sciences Intern in Bangalore. This opportunity is part of Microsoft's university internship program where interns collaborate with researchers and product teams on real-world AI and machine intelligence problems.

The team is looking for candidates who are strong in deep-thinking research and can also execute quickly in a practical environment. During the internship, selected candidates work closely with mentors, collaborate with other interns and researchers, and contribute through data processing, experimentation, and model development.

The role is aligned with domains such as Natural Language Understanding, Computer Vision, Machine Learning, Optimization, Data Mining, and Artificial Intelligence. Microsoft internships are paid, and where required, support for visa applications is also provided.

Internship Overview

Microsoft invites students from across the world to build community, explore passions, and work on meaningful technology challenges. The internship is designed for candidates who can combine deep research thinking with strong execution, while working as team players in a collaborative and supportive environment.

Applicants with strong academia exposure in experimentation, modeling, and data processing are highly relevant for this role. Interns are expected to contribute ideas, test solutions rigorously, and work with mentors to convert research into real impact.

Job Responsibilities:

• Analyze and improve the performance of advanced algorithms on large-scale datasets.
• Contribute to cutting-edge research in machine intelligence and machine learning applications.
• Implement prototypes of scalable systems in AI applications.
• Collaborate with researchers and product teams from prototyping to production-level systems.
• Develop solutions for real-world, large-scale technical problems.
• Present findings, share research outcomes, and actively participate in the Microsoft research community.

MSR India conducts research in a wide range of areas and internships are available throughout the year, with most openings beginning in the summer cycle. During the internship, students are paired with mentors and collaborate with interns and researchers across teams. All internships are paid, and visa support is provided where required.

Eligibility Criteria:

• Bachelor's Degree (completed or in progress) in relevant field, or
• Master's Degree in relevant field, or equivalent experience.
• Master's Degree or PhD in relevant field is preferred.
• Experience with academic paper publishing as lead author or key contributor is preferred.
• Experience participating in top conferences in a relevant research domain is preferred.

This position stays open for a minimum of 5 days, and applications are accepted on an ongoing basis until the role is filled.

Preferred skill:

• Strong understanding of machine learning and AI fundamentals.
• Hands-on experience in Natural Language Understanding or Computer Vision projects.
• Good foundation in data structures, algorithms, and optimization methods.
• Programming skills in Python/C++ and ability to work with research code pipelines.
• Ability to run experiments, analyze results, and clearly communicate technical findings.
• Collaborative mindset and ability to work in cross-functional teams.

How to Apply for Microsoft Recruitment 2026?

Interested and eligible candidates can apply by clicking the below button APPLY HERE and going to the official Microsoft careers portal. Before applying, keep your resume updated with relevant projects, internships, and research work for better visibility during shortlisting.

Apply here

About Microsoft:

Microsoft is one of the world's leading technology companies, known for products and platforms like Windows, Azure, Microsoft 365, GitHub, and Copilot. The company invests heavily in research and innovation through Microsoft Research, where teams work across AI, language technologies, computer vision, systems, and applied sciences.

With a global culture focused on growth mindset, inclusion, respect, integrity, and accountability, Microsoft provides a strong environment for students and freshers who want to work on meaningful technology problems at scale.

Microsoft is an equal opportunity employer. All qualified applicants receive consideration without regard to age, ancestry, citizenship, color, gender identity or expression, genetic information, marital status, medical condition, national origin, disability, political affiliation, veteran or military status, race, religion, sex, sexual orientation, or any other characteristic protected by law.

Tips to Crack Microsoft Research Intern Role

• Build one strong project deeply: Instead of many shallow projects, keep one project where you can explain problem statement, dataset, model choice, error analysis, and improvements.
• Prepare your research narrative: Practice explaining what you tried, what failed, and what changed after each experiment.
• Strengthen coding basics: Python, data structures, and algorithmic problem solving are still important for screening rounds.
• Practice experimentation hygiene: Maintain logs, version your code, and mention exact metrics in your resume.
• Revise core ML topics: bias-variance tradeoff, regularization, precision/recall/F1, optimization basics, and model evaluation methods.

Best Resources to Study (Shortlist)

• Machine Learning: Andrew Ng ML Specialization (Coursera), Hands-On Machine Learning book.
• Deep Learning: DeepLearning.AI short courses, CS231n notes for vision fundamentals.
• NLP: Hugging Face course, Stanford CS224N lecture playlists.
• Interview practice: LeetCode (easy/medium), NeetCode roadmap, Kaggle notebooks for practical data workflows.
• Research reading: arXiv Sanity, Papers With Code, and Microsoft Research blog updates.

Common Mistakes to Avoid Before Applying

• Submitting a resume without measurable outcomes from projects.
• Listing tools without showing what problem you solved using them.
• Ignoring experiment reproducibility and model validation details.
• Applying with broken GitHub links or incomplete project readme files.
• Missing deadline windows due to late profile updates.

Before submitting, quickly double-check your resume headline, project links, and contact details to avoid avoidable rejections.