PhD Software Engineer, Early Career, AI/Machine Learning, 2025 Start, MSCA

2 Weeks ago • All levels • Artificial Intelligence

About the job

Summary

Google Cloud is seeking a PhD Software Engineer to join its Machine Learning, Systems, and Cloud AI (MSCA) team. The role involves leading and collaborating on projects designing, analyzing, and developing advanced ML systems. Responsibilities include studying and resolving complex technical issues, developing and reviewing code, and ensuring best practices. The ideal candidate will have a PhD in a relevant field, experience in large-scale deep learning, and a strong programming background, particularly in Python and deep learning frameworks. The role offers opportunities to work on projects critical to MSCA's needs and contribute to world-changing products. This is a full-time position starting in 2025.
Must have:
  • PhD in CS or related field
  • Experience in ML/AI
  • Coding proficiency (C, C++, Java, JavaScript, Python, Golang)
  • Lead & collaborate on projects
  • Develop and review code
Good to have:
  • Experience in large-scale deep learning
  • Distributed training and scaling experience
  • Extensive Python & TensorFlow/Jax/Pytorch experience
  • Track record of developing ML solutions for real-world problems
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Minimum qualifications:

  • 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.
  • Experience in Machine Learning or Artificial Intelligence.

Preferred qualifications:

  • PhD degree in Computer Systems, Machine Learning/Artificial Intelligence, or a related field.
  • Experience in large-scale deep learning, distributed training and scaling.
  • Research experience in designing, developing, or applying AI/ML systems or applications in a large-scale distributed environment.
  • Extensive programming experience in Python, and deep learning frameworks like TensorFlow/Jax/Pytorch.
  • Ability to start full time role in 2025.
  • Track record of developing ML solutions for real world, large scale problems.

About the job

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

As part of MSCA, (Machine Learning, Systems, and Cloud AI), you will have the opportunity to be a part of an organization that delivers category defining systems and AI/ML solutions and capabilities, developed and powered by Google Services, Frameworks and Infrastructure, supporting customers and users around the world. Google's engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at a massive scale. You'll be at the forefront of innovation, developing cutting-edge systems and AI and Machine Learning solutions. As a new PhD graduate, your research expertise is invaluable to us. Join the ML, Systems, and Cloud AI organization and apply your knowledge to real-world problems. Explore a variety of projects, collaborate with diverse teams, and contribute to products that are changing the world. Our engineering teams include thousands of PhDs who bring their deep knowledge and research experience to enhance our systems and products. As a Google PhD Software Engineer, you will work on projects critical to MSCA’s needs. At Google, you will have many opportunities to learn and follow your interests. We expect our engineers to be creative and versatile, leading and identifying new problems to push the field and Google technology forward. Google offers you exciting opportunities as it is one of the world’s leading producers and consumers of ML and AI technology, with decades of experience in designing, deploying, and using ML software and custom ML hardware infrastructure at massive scale. Learn more about us !

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $136,000-$200,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .

Responsibilities

  • 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 (e.g., style guidelines, accuracy, testability, and efficiency).

View Full Job Description
$136.0K - $200.0K/yr (Outscal est.)
$168.0K/yr avg.
Worldwide

About The Company

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

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