채용
Required Skills
Python
C
C++
C#
Java
JavaScript
Machine Learning
Deep Learning
Transformers
LLM
Generative AI
Overview
Share Point helps millions of people work better together and empowers the biggest companies in the world to solve mission‑critical problems. We create and operate global‑scale AI‑driven services to store, secure, and manage some of the most sensitive data on the planet.We are at the forefront of Microsoft’s next‑generation architecture and AI transformation—using state‑of‑the‑art machine learning, deep learning, generative AI, and large‑scale data systems to deliver intelligent experiences with exceptional performance, scale, reliability, and security. If shaping the AI future of One Drive‑Share Point (ODSP) sounds exciting, come join us as part of the Microsoft 365 ecosystem in Hyderabad!. 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.
Share Point helps millions of people work better together and empowers the biggest companies in the world to solve mission‑critical problems. We create and operate global‑scale AI‑driven services to store, secure, and manage some of the most sensitive data on the planet.We are at the forefront of Microsoft’s next‑generation architecture and AI transformation—using state‑of‑the‑art machine learning, deep learning, generative AI, and large‑scale data systems to deliver intelligent experiences with exceptional performance, scale, reliability, and security. If shaping the AI future of One Drive‑Share Point (ODSP) sounds exciting, come join us as part of the Microsoft 365 ecosystem in Hyderabad!
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- We are seeking a highly motivated Senior Applied Scientist to build, deploy, and optimize the next generation of AI‑powered capabilities across Share Point and M365.
- You will work across massive datasets, partner with product and engineering teams, and shape algorithms that power productivity for hundreds of millions of users.
- Build models and featurization pipelines, enable feedback loop.
- Leverage synthetic and user-generated data to continuously improve prompt, finetune models.
- Prototyping new approaches and developing new algorithms, ML techniques that include deep learning, unsupervised ML and privacy preserving data mining techniques.
- Staying current on technology trends and scientific developments in relevant areas inside and outside of the company, including attending academic and industrial conferences.
- Join a team of builders, innovators, and researchers who think outside the box - a team committed to solving complex problems with simplicity, designing for low operational burden, and supporting personal and professional growth.
- If you’re passionate about transforming how people work through AI, this is the opportunity for you!
Qualifications:
- Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
- Experience in building cutting-edge machine learning models, including transformers, generative AI, reinforcement learning, and large language models (LLMs).
- Proficiency in Python and modern ML stack; strong fundamentals in data structures/algorithms.
- Experience in: Prompt engineering.
- Finetuning and SLM optimization.
- Evaluation frameworks for LLM quality, utility, latency, and cost.
- RAG, agentic workflows, and multi-turn dialogue systems.
- Experience building online ML systems (data pipelines, feature stores, service integration) and running A/B experiments.
- Proven ability to partner across product/engineering and communicate results clearly.
Other Requirements:
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
Preferred Qualifications:
- Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
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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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
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Mid/L4 · Data and Applied Scientist
0 reports
$202,099
total / year
Base
$149,342
Stock
$32,252
Bonus
$20,505
$139,572
$301,212
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
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