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Research Software Development Engineer

Microsoft

Research Software Development Engineer

Microsoft

India, Karnataka, Bangalore

·

On-site

·

Full-time

·

3mo ago

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.

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About Microsoft

Microsoft

A software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.

10,001+

Employees

Redmond

Headquarters

$3000B

Valuation

Reviews

3.8

5 reviews

Work Life Balance

4.1

Compensation

4.3

Culture

3.4

Career

3.2

Management

3.0

65%

Recommend to a Friend

Pros

Excellent compensation and benefits package

Four-day workweek with improved work-life balance

Supportive managers and teams

Cons

High-pressure environment causing anxiety

Unprofessional interview processes

Limited creative work opportunities

Salary Ranges

5,571 data points

Junior/L3

Mid/L4

Principal/L7

Senior/L5

Staff/L6

VP

Director

Junior/L3 · Software Engineer

0 reports

$219,263

total / year

Base

$161,991

Stock

$39,169

Bonus

$18,104

$156,314

$317,984

Interview Experience

7 interviews

Difficulty

3.7

/ 5

Duration

14-28 weeks

Offer Rate

14%

Experience

Positive 14%

Neutral 29%

Negative 57%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Technical Interview

5

Onsite/Virtual Interviews

6

Final Round

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience