PhD Software Engineer, Early Career, AI/Machine Learning, 2025 Start, MSCAAbout the jobGoogle 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.
ResponsibilitiesLead 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).Minimum Qualifications:PhD degree in Computer Science, or a related technical field, or equivalent practical experience.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.Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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