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Engineering🎯 Internship

Research Sciences Intern at Microsoft

Microsoft
•16 days ago
Location

Pan India

Salary

Competitive

Apply By

ASAP

Views

37

Eligible Batches

🎓 2026 Batch

Job Description

Join Microsoft as a Research Sciences Intern and drive innovation in cutting-edge research projects, leveraging expertise in data science, machine learning, and computer vision.

Roles & Responsibilities

Collaborate with top researchers to advance research projects and develop innovative solutions Design, implement, and test complex research experiments and models Contribute to the development of new research ideas and proposals

Requirements

Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field Strong programming skills in languages like Python, C++, or Java Experience with data science and machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn

Eligibility Criteria

B.E./B.Tech. 2026 Batch

Tech Stack & Ecosystem

Microsoft

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Quick Info

TypeInternship
RoleResearch Sciences Intern
Work Mode🏢 On-site
Eligible Batches
2026

Tech Stack

Microsoft

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Career Advice

Company Insights

A research sciences internship at Microsoft offers a unique opportunity to work on innovative projects that push the boundaries of AI and machine learning. As a researcher, you'll join a team of top experts who are shaping the future of technology. You'll have access to cutting-edge tools, technologies, and expertise that will help you grow as a professional and make meaningful contributions to the organization. But it's not just about technology; it's about the people and the culture. Microsoft is committed to fostering an inclusive and diverse environment that values collaboration, creativity, and innovation. You'll have the chance to learn from experienced professionals, build lasting relationships, and develop a stronger sense of purpose and fulfillment.

Interview Guide

When interviewing for a research sciences position at Microsoft, it's essential to demonstrate your technical expertise, creativity, and problem-solving skills. Prepare to discuss your research experiences, projects, and publications in detail. Make sure to review Microsoft's research areas and publications to show your interest and enthusiasm for the company's work. Additionally, be ready to discuss your understanding of data science and machine learning concepts, such as neural networks, deep learning, and natural language processing. Practice explaining complex technical concepts in simple terms, and be prepared to provide specific examples of how you've applied data science and machine learning in previous projects. Finally, be prepared to ask insightful questions about the position and the company, and demonstrate your passion for research and innovation.