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.
$136,000 - $200,000
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) organization. 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 implementation, allowing you to apply your PhD expertise to real-world problems at massive scale.

The role involves working with distributed computing, large-scale system design, and artificial intelligence, while collaborating with a diverse team of engineers, including thousands of PhDs. You'll have the flexibility to switch teams based on your interests and contribute to critical projects that shape the future of cloud technology and AI applications.

Google Cloud provides enterprise-grade solutions that leverage Google's cutting-edge technology, serving customers in more than 200 countries. The company offers a competitive compensation package, including a base salary range of $136,000-$200,000, plus bonus, equity, and comprehensive benefits.

The ideal candidate should have a PhD in Computer Science or related field, programming experience in languages like Python, Java, or C++, and a strong background in ML/AI systems. You'll be working in a fast-paced environment where innovation and leadership are valued, and your research expertise will be crucial in developing solutions that scale to billions of users.

Last updated 5 hours 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 across the stack using your research expertise
  • Study, diagnose and resolve complex technical modeling and systems issues by analyzing the sources of the issues and the impact on quality
  • Develop code and review code developed by other developers, and provide feedback to ensure best practices

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

Java
JavaScript
Python
  • PhD degree in Computer Science, or a related technical field, or equivalent practical experience
  • Experience coding in one of the following programming languages: C, C++, Java, JavaScript, Python, or Golang
  • Ability to start full-time role in 2025

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

  • Bonus
  • Equity
  • Benefits package

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