Software Engineer, PhD, Early Career, Campus, Machine Learning, Systems and Cloud AI, 2025 start

Google Cloud accelerates organizations' digital transformation by delivering enterprise-grade solutions leveraging cutting-edge technology and developer tools.
$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, Campus, Machine Learning, Systems and Cloud AI, 2025 start

Google Cloud is seeking PhD Software Engineers to join their Machine Learning, Systems and Cloud AI (MSCA) organization. This role offers the opportunity to work on cutting-edge AI/ML solutions that impact billions of users worldwide. As part of the team, you'll develop next-generation technologies in distributed computing, large-scale system design, and artificial intelligence.

The position combines research expertise with practical engineering, allowing you to apply advanced knowledge to real-world problems at massive scale. You'll work alongside thousands of PhDs who bring deep technical knowledge to enhance Google's systems and products. The role offers flexibility to switch teams based on your interests while working on critical projects within MSCA.

Google Cloud provides enterprise-grade solutions leveraging Google's cutting-edge technology, helping organizations across 200+ countries digitally transform their businesses. The role requires expertise in ML/AI systems, distributed computing, and software development, with opportunities to work on performance optimization, system architecture, and large-scale data analysis.

The position offers competitive compensation including base salary, bonus, equity, and comprehensive benefits. Google maintains a strong commitment to diversity, equality, and creating an inclusive workplace. The role requires English proficiency and the ability to start full-time in 2025.

This is an excellent opportunity for PhD graduates looking to apply their research expertise in a practical setting while working on transformative technology that impacts users globally. The role combines the intellectual challenges of advanced research with the practical impact of production engineering at one of the world's leading technology companies.

Last updated 17 hours ago

Responsibilities For Software Engineer, PhD, Early Career, Campus, Machine Learning, Systems and Cloud AI, 2025 start

  • 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, Campus, Machine Learning, Systems and Cloud AI, 2025 start

Python
Java
JavaScript
Go
  • PhD degree in Computer Science, or a related technical field, or equivalent practical experience
  • Experience coding in one of the following programming languages including but not limited to: C, C++, Java, JavaScript, Python, or Golang

Benefits For Software Engineer, PhD, Early Career, Campus, Machine Learning, Systems and Cloud AI, 2025 start

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

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