Software Engineer, PhD, Early Career, Machine Learning, Systems and Cloud AI

Google Cloud accelerates organizations' digital transformation by delivering enterprise-grade solutions leveraging cutting-edge technology.
$141,000 - $202,000
Machine Learning
Entry-Level Software Engineer
In-Person
5,000+ Employees
AI · Enterprise SaaS · Cloud

Description For Software Engineer, PhD, Early Career, Machine Learning, Systems and Cloud AI

Google Cloud is seeking PhD Software Engineers to join their Machine Learning, Systems and Cloud AI (MSCA) team. This role offers an exciting opportunity to work on next-generation technologies that impact billions of users worldwide. As part of MSCA, you'll develop category-defining AI/ML solutions and capabilities, leveraging Google's extensive infrastructure and frameworks.

The position combines cutting-edge research with practical engineering, allowing PhD graduates to apply their expertise to real-world problems at massive scale. You'll work on critical projects within Google Cloud, with flexibility to switch teams as your interests evolve. The role demands creativity, leadership, and enthusiasm for tackling new challenges across the full technology stack.

Google's engineering teams include thousands of PhDs who bring their deep knowledge to enhance systems and products. You'll be working in an environment that values research expertise and provides opportunities to collaborate with other brilliant minds. The company has decades of experience in ML and AI technology, both as a supplier and consumer, with custom hardware infrastructure supporting operations at scale.

The compensation package is competitive, ranging from $141,000 to $202,000 base salary, plus bonus, equity, and comprehensive benefits. The role offers the chance to work in several locations including Kirkland, Seattle, and Sunnyvale, with access to Google's renowned workplace benefits and inclusive culture.

This is an ideal opportunity for PhD graduates looking to transition their research expertise into impactful real-world applications while working with cutting-edge technology at one of the world's leading tech companies.

Last updated 5 days ago

Responsibilities For Software Engineer, PhD, Early Career, Machine Learning, Systems and Cloud AI

  • Lead and collaborate on team projects to carry out design, analysis, and development of advanced Machine Learning (ML) systems
  • Study, diagnose and resolve complex technical modeling and systems issues
  • Develop code and review code developed by other developers

Requirements For Software Engineer, PhD, Early Career, Machine Learning, Systems and Cloud AI

Python
Java
JavaScript
Go
  • PhD degree in Computer Science, or a related technical field, or equivalent practical experience
  • Experience coding in C, C++, Java, JavaScript, Python, or Golang
  • Experience in designing, developing, or applying ML/AI systems in large-scale distributed environment (preferred)
  • Experience with Unix/Linux, system architecture, and performance optimization (preferred)
  • Ability to start full-time role in 2025

Benefits For Software Engineer, PhD, Early Career, Machine Learning, Systems and Cloud AI

Medical Insurance
Vision Insurance
Dental Insurance
Equity
401k
  • Medical Insurance
  • Vision Insurance
  • Dental Insurance
  • Equity
  • 401k

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