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Microsoft Corporation Logo Microsoft Corporation · IT - Software Development

Research SDE II

India, Bangalore · Job Posted February 03, 2026
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Job Description

Microsoft Research India (MSR India) is a leading research lab advancing innovation across the research areas like Artificial Intelligence & Machine Learning, Theory, Technology & Empowerment and Systems. Established two decades ago, the lab has been at the forefront of computer science research in India and has been home to world class talent and projects. We are seeking to hire research engineers at Microsoft Research India. We are looking for exceptional candidates with a demonstrated track record in AI/ML, including new models, scalable ML architectures, systems support for such workloads, and innovative large-scale applications of ML models. Projects in the lab are inter-disciplinary and span across research areas such as artificial intelligence, machine learning, natural language processing, information retrieval, systems, theory, and related areas.

Job Responsibility

  • The candidate should be comfortable dealing with open problems, new technologies and changing requirements, and should play different roles in the project as the need arises
  • The candidate will be working closely with researchers, engineers and internal/external partners and take ownership of meeting project goals through building quality solutions
  • This also provides a great opportunity to receive mentoring as well as to mentor and lead interns and other team members

Requirements

  • Bachelor’s, Master’s, or Ph.D. degree in Computer Science or related disciplines
  • Strong programming and communication skills, and ability to drive end-to-end research and development—from ideation to deployment
  • Minimum 5 years of industry work experience with proven track record of innovation and delivering impactful solutions

Nice to have

  • Good understanding of deep learning, LLMs, and large-scale ML systems
  • Proficiency in Python, PyTorch, and familiarity with CUDA, cutting-edge agentic frameworks, etc
  • Experience in data preparation, pre-training, post-training, and evaluation for ML models
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