Member of Technical Staff - Data Research Engineer - MAI Superintelligence Team | Microsoft Careers

Microsoft

Closes in 2 days Hybrid

Quick summary

Work type
Hybrid
Location
—
Salary
$119,800–$234,700 / yr
Posted
177 days ago
Closes
Jun 6, 2026 (soon)

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $185k
This role $177k
$106k most similar roles pay here $248k

This role pays more than 53% of similar roles. Most pay $161,000–$208,800 — the shaded band above. At the midpoint, this role pays about $177k versus about $185k for comparable roles.

Based on 240 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 571 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 522 roles with salary data.

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At a glance

TL;DR · Member of Technical Staff - Data Research Engineer - MAI Superintelligence Team | Microsoft Careers

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Join our Multimodal team as a Data Research Engineer, where you will design and curate high-quality datasets for advanced AI models across vision, language, audio, and more. Your day-to-day involves developing innovative data collection strategies, improving dataset quality, analyzing multimodal data to assess model behaviors, and ensuring ethical standards are met. You’ll create scalable pipelines using Python and libraries like Pandas and NumPy, analyze large-scale datasets, build tools for auditing and visualization, and collaborate with safety teams to uphold responsible AI practices. Ideal candidates have a strong background in AI, Computer Science, or related fields, along with extensive experience in data analysis and engineering, proficiency in statistics, and familiarity with frameworks such as Spark and Apache Beam.

Skills

Python Pandas NumPy Spark Ray Apache_Beam SQL CI/CD Git Jupyter_Notebook TensorFlow PyTorch PostgreSQL MongoDB Docker Kubernetes AWS Google_Cloud_Platform Azure GitHub

What you'll do

  • Develop novel data collection strategies for high-quality datasets.
  • Maintain scalable multimodal data pipelines for ingestion and preprocessing.
  • Analyze real-world datasets to assess quality and identify improvement areas.
  • Build tools for dataset auditing, visualization, and versioning.
  • Ensure datasets meet ethical and responsible AI standards.

What we're looking for

  • Bachelor's degree in a relevant field and 4+ years of experience with Python and data libraries.
  • Master's degree in a relevant field and 8+ years of experience with Python and data libraries, or equivalent experience.
  • At least 2 years of experience in data analysis or engineering with large-scale datasets.
  • Proficiency in statistics and exploratory data analysis methods.
  • Familiarity with data processing frameworks like Spark, Ray, or Apache Beam.

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