| Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
Redmond, WA
Posted
51 days ago
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $181k
$106k most similar roles pay here $248k

This listing doesn't post a salary. Most similar roles pay $155,000–$207,350.

Based on 238 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 1103 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 985 roles with salary data.

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At a glance

TL;DR · | Microsoft Careers

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As a Research Intern at Microsoft Research’s Data Systems Group, you will join a team of top researchers and engineers working on large-scale data systems including query execution, storage, indexing, and resource management for cloud platforms. Your day-to-day responsibilities will involve developing innovative solutions to complex research problems using novel hardware, AI, and ML techniques. You will need expertise in relational database systems, distributed cache, vector databases, storage engines, model training, and big data analytics, along with a strong understanding of query processing, optimization, concurrency, transactions, and resource management. Familiarity with data cleaning, transformation, and algorithms is also crucial, as you will be applying AI and ML to solve real-world data management challenges in products like SQL Server and Azure SQL Database.

Skills

SQL Azure SQL Database Power BI Excel Dynamics 365 ACM SIGMOD VLDB IEEE ICDE Relational database systems Distributed cache Key-value stores Vector databases Storage engines Model training and inference Big data analytics systems Query processing Query optimization Concurrency Transactions Resource management Scheduling Data cleaning Data transformation AI ML

What you'll do

  • Design and implement novel hardware solutions for large-scale data systems.
  • Develop advanced query execution and optimization techniques using AI/ML.
  • Conduct research on resource management for cloud data platforms.
  • Innovate in data discovery, preparation, and storage indexing methods.
  • Collaborate on influential publications at top conferences like ACM SIGMOD.

What we're looking for

  • Experience in large-scale data systems including query execution and storage indexing.
  • Proficiency in leveraging novel hardware, AI, and ML for data management challenges.
  • Knowledge of relational database systems, distributed cache, key-value stores, vector databases.
  • Understanding of query processing, optimization, concurrency, transactions, resource management.
  • Ability to apply AI and ML techniques to solve complex data management issues.

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