Google
Staff Research Software Engineer, Earth AI
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Staff Research Software Engineer, Earth AI
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Google Minimum qualifications: Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. 8 years of experience in software development. 5 years of experience testing and launching software products. 3 years of experience with software design and architecture. Experience in Python and machine learning frameworks (e.g., Jax, TensorFlow, PyTorch). Preferred qualifications: Master's degree or PhD in Computer Science, Geoinformation Science, or a related field, with a focus on machine learning, computer vision. Deep understanding and experience with Large Language Models (LLMs) and their application to agentic systems. Proven track record of leading a team of engineers, with experience mentoring and growing talent. Deep technical knowledge of multi-modal machine learning, geospatial reasoning, knowledge graphs. A history of designing and shipping complex, large-scale technical projects from end-to-end. One or more accepted scientific publication submissions for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.). Responsibilities: Set the research and technical vision and strategic direction for the team's research and development efforts towards state-of-the-art models in Generative AI for complex global geospatial problems. Own the technical architecture for large-scale geospatial reasoning systems. Work on the most ambiguous and challenging technical problems in the field, this includes innovating new data representations, designing novel model architectures for spatial reasoning, and optimizing performance on cutting-edge hardware (TPUs, GPUs). Act as the primary technical point of contact for external teams, collaborating with other Google organizations to integrate and deploy your team's research. About The Job Google's software 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 massive scale, and extend well beyond web search. 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’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. 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. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
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Join to apply for the
Staff Research Software Engineer, Earth AI
role at
Google Minimum qualifications: Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. 8 years of experience in software development. 5 years of experience testing and launching software products. 3 years of experience with software design and architecture. Experience in Python and machine learning frameworks (e.g., Jax, TensorFlow, PyTorch). Preferred qualifications: Master's degree or PhD in Computer Science, Geoinformation Science, or a related field, with a focus on machine learning, computer vision. Deep understanding and experience with Large Language Models (LLMs) and their application to agentic systems. Proven track record of leading a team of engineers, with experience mentoring and growing talent. Deep technical knowledge of multi-modal machine learning, geospatial reasoning, knowledge graphs. A history of designing and shipping complex, large-scale technical projects from end-to-end. One or more accepted scientific publication submissions for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.). Responsibilities: Set the research and technical vision and strategic direction for the team's research and development efforts towards state-of-the-art models in Generative AI for complex global geospatial problems. Own the technical architecture for large-scale geospatial reasoning systems. Work on the most ambiguous and challenging technical problems in the field, this includes innovating new data representations, designing novel model architectures for spatial reasoning, and optimizing performance on cutting-edge hardware (TPUs, GPUs). Act as the primary technical point of contact for external teams, collaborating with other Google organizations to integrate and deploy your team's research. About The Job Google's software 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 massive scale, and extend well beyond web search. 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’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. 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. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
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