| Microsoft Careers

Microsoft

Hybrid

Quick summary

Work type: Hybrid
Location: Mountain View, CARedmond, WA
Salary: $139,900–$274,800 / yr
Posted: 61 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k

This role $207k

$101k most similar roles pay here $293k

This role pays more than 78% of similar roles. Most pay $152,150–$207,350 — the shaded band above. At the midpoint, this role pays about $207k 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 1577 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1405 roles with salary data.

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At a glance

TL;DR · | Microsoft Careers

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As a Principal Software Engineer - AI Ads on Microsoft’s Shopping Ads Infrastructure & Algorithm team in Mountain View, CA or Redmond, WA, you will lead the design and development of large-scale shopping ads infrastructure that powers billions of products worldwide. Your day-to-day responsibilities include building and maintaining the universal product graph spanning multiple languages, developing scalable systems for data ingestion, storage, retrieval, and real-time serving at global scale, and applying machine learning, natural language processing, and deep learning models to enhance ad relevance, personalization, and selection. You will collaborate with leading scientists and engineers across Microsoft’s R&D organization to translate research into production systems and drive innovation aligned with the company’s Commerce Strategy. The role requires expertise in deep learning frameworks like PyTorch or TensorFlow, cloud services, large-scale big data platforms, and streaming/real-time frameworks such as Kafka, Flink, and Spark Streaming. Ideal candidates have a background in computational advertising, recommender systems, or search engines, and are passionate about solving complex problems at massive scale.

Skills

Python Java C++ PyTorch TensorFlow Kafka Flink Spark Streaming Azure AWS CI/CD Docker Kubernetes PostgreSQL Redis Bigtable Hadoop Git Jenkins

What you'll do

Lead design and development of large-scale shopping ads infrastructure.
Build and maintain universal product graph spanning billions of products globally.
Develop scalable data ingestion, storage, retrieval, and real-time serving systems.
Apply ML, NLP, and DL models to enhance ad relevance, personalization, and selection.
Collaborate with scientists to translate research into production-ready AI systems.

What we're looking for

4+ years of experience building large-scale industrial systems.
2+ years of experience with deep learning frameworks like PyTorch and TensorFlow.
2+ years of experience with cloud services and big data platforms.
Experience in developing AI infrastructure, including streaming/real-time frameworks.
Background in computational advertising, recommender systems, or search engines.

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