| Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
—
Salary
$119,800–$234,700 / yr
Posted
54 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k
This role $177k
$106k most similar roles pay here $248k

This role pays more than 66% of similar roles. Most pay $152,150–$207,350 — the shaded band above. At the midpoint, this role pays about $177k versus about $180k for comparable roles.

Based on 239 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 1580 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1408 roles with salary data.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

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As a Senior Applied Scientist in the Bing Multimedia AIGC team at Microsoft, you will play a pivotal role in advancing AI-generated content experiences on Bing and other Windows products. Your responsibilities include researching and developing metrics to measure the success of AIGC features, analyzing product quality data, and collaborating with business owners to define effective measurement methodologies for integrating search and creation functionalities. You will also fine-tune machine learning models and optimize data workflows using state-of-the-art tools and technologies such as Python, TensorFlow, and PyTorch. This role involves working on large-scale datasets and leveraging advanced analytics techniques to drive innovation in AI-driven content creation at a global scale.

Skills

Python MachineLearning DataPipelines ETL Kubernetes AWS Azure TensorFlow PyTorch CI/CD PostgreSQL SQL Scalability FairnessBiasAnalysis StatisticalAnalysisTools Docker Git JupyterNotebooks CloudServices BigDataAnalytics

What you'll do

  • Develops and scales feature ideation and data preparation for machine learning purposes.
  • Designs and implements ETL pipelines to support data collection, cleaning, and model training.
  • Establishes collaborative relationships with product and business groups to drive technology impact.
  • Independently creates research-backed solutions to positively impact Microsoft products.
  • Addresses scalability issues by improving models and monitoring their performance in production.
  • Identifies and mitigates potential bias and ethical concerns in AI development processes.

What we're looking for

  • Extensive experience in machine learning and data analysis for product development.
  • Proficient in designing and implementing ETL pipelines for data preparation and model training.
  • Strong collaboration skills with business groups to drive technological innovation and impact.
  • Ability to independently create research-backed solutions to solve significant business problems.
  • Deep understanding of fairness, bias, ethics, and privacy in AI product development.
  • Experience in scaling machine learning models and monitoring their performance over time.

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