Research Software Development Engineer-MSR

Reposted 14 Days Ago
Be an Early Applicant
Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Software • Quantum Computing • Metaverse • Infrastructure as a Service (IaaS)
The Role
Develop and deploy research-driven ML/AI solutions alongside researchers and engineers. Tackle open problems, build scalable ML systems and prototypes, and mentor/lead interns and teammates to meet project goals.
Summary Generated by Built In
Overview

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.

Interested candidates should apply on the link above.


Responsibilities

We are looking for engineers with strong coding and engineering skills. 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.


Qualifications

Required:

  • 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.

Preferred:

  • 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.

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.

Skills Required

  • Bachelor's, Master's, or Ph.D. degree in Computer Science or related disciplines
  • Strong programming skills and ability to drive end-to-end research and development from ideation to deployment
  • Strong communication skills
  • Minimum 5 years of industry work experience with proven track record of innovation and delivering impactful solutions
  • Good understanding of deep learning, LLMs, and large-scale ML systems
  • Proficiency in Python and PyTorch
  • Familiarity with CUDA and agentic frameworks
  • Experience in data preparation, pre-training, post-training, and evaluation for ML models

Microsoft Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.

  • Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
  • Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
  • Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.

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