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Applied Scientist Intern - M.Tech

Microsoft

Applied Scientist Intern - M.Tech

Microsoft

India, Multiple Locations, Multiple Locations

·

On-site

·

Internship

·

2w ago

Required Skills

Python

PyTorch

Machine Learning

LLM training

Overview

We are seeking **Applied Scientists (Multiple Positions)**with strong research skills and the desire to pursue the cutting edge in model development that pushes technological boundaries. We are looking for candidates with interest and experience in language model training, data pipelines, and shipping high-quality models, willing to delve deep with customer data and generalize the learnings for the broader product.

We provide a nurturing environment to support passionate researchers and engineers in technology innovation. We seek candidates that excel in deep thinking, advanced development, and fast-paced entrepreneurial execution in a collaborative setting.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities:

Responsibilities

  • Write and execute training pipelines for large language models post-training.

  • Design experiments to show the effectiveness of LLM-based solutions.

  • Design and implement inference solutions that incorporate post-trained models following product specifications and work with broader team to ship these solutions to customers.

  • Document experiments and communicate results across the team.

  • Mentor early in career team members.

  • Qualifications- Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)

  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)

  • OR equivalent experience.

  • Experience training/fine tuning AI/ML models, preferably LLMs/SLMs (small learning model).

  • Experience with Python and/or ML frameworks such as Py Torch.

  • Experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).

  • Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.

  • Experience building Generative AI pipelines, e.g. with RAG (Retrieval augmented generation).

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

Junior/L3 · Advertising Client Success

2 reports

$163,358

total / year

Base

$141,875

Stock

-

Bonus

-

$163,358

$163,358

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