Google Inc.
Senior Staff Software Engineer, Machine Learning, Cloud AI
Google Inc., Sunnyvale, California, United States, 94087
Senior Staff Software Engineer, Machine Learning, Cloud AI
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. Bachelor’s degree in computer science, mathematics, applied statistics, machine learning, or equivalent practical experience. 5 years of experience in leading technical project strategy, Machine Learning (ML) design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 3 years of experience with software design and architecture. Experience with Large Language Models, NLP, or Generative AI. Preferred qualifications:
Master’s degree or PhD in Engineering, Computer Science, a technical related field, or equivalent practical experience. 5 years of experience working with Large Language Models. 3 years of experience fine-tuning large models (e.g., supervised, RLHF). 3 years of experience in a technical leadership role leading project teams and setting technical direction. 3 years of experience applying and productionizing state-of-the-art large visual, language, and multimodal research. Experience in designing and deploying agentic AI workflows for business process automation. 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 Senior Staff Machine Learning Engineer, you will develop next-generation AI technologies for our core products such as AI Search, Specialized AI models, and the Developer Platform. You will apply expertise in machine learning, particularly in areas like search, speech, translation, to design and optimize scalable ML models and infrastructure. Responsibilities
Lead the design, implementation, and optimization of machine learning solutions and infrastructure, defining the technical goal and long-term strategy for product roadmap. Provide technical leadership by creating demos and proofs-of-concept, managing product briefings, and partnering with product management, DeepMind, and Innovation Labs to drive customer adoption. Architect and develop highly scalable ML systems, including model training pipelines, serving infrastructure, and data processing solutions. Enable client success by working closely with key Google Cloud Platform (GCP) customers to build and deploy enterprise-grade ML offerings on platform. Ensure AI/ML quality by reviewing model designs, code, and training data for accuracy, testability, and efficiency. 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.
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Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. Bachelor’s degree in computer science, mathematics, applied statistics, machine learning, or equivalent practical experience. 5 years of experience in leading technical project strategy, Machine Learning (ML) design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 3 years of experience with software design and architecture. Experience with Large Language Models, NLP, or Generative AI. Preferred qualifications:
Master’s degree or PhD in Engineering, Computer Science, a technical related field, or equivalent practical experience. 5 years of experience working with Large Language Models. 3 years of experience fine-tuning large models (e.g., supervised, RLHF). 3 years of experience in a technical leadership role leading project teams and setting technical direction. 3 years of experience applying and productionizing state-of-the-art large visual, language, and multimodal research. Experience in designing and deploying agentic AI workflows for business process automation. 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 Senior Staff Machine Learning Engineer, you will develop next-generation AI technologies for our core products such as AI Search, Specialized AI models, and the Developer Platform. You will apply expertise in machine learning, particularly in areas like search, speech, translation, to design and optimize scalable ML models and infrastructure. Responsibilities
Lead the design, implementation, and optimization of machine learning solutions and infrastructure, defining the technical goal and long-term strategy for product roadmap. Provide technical leadership by creating demos and proofs-of-concept, managing product briefings, and partnering with product management, DeepMind, and Innovation Labs to drive customer adoption. Architect and develop highly scalable ML systems, including model training pipelines, serving infrastructure, and data processing solutions. Enable client success by working closely with key Google Cloud Platform (GCP) customers to build and deploy enterprise-grade ML offerings on platform. Ensure AI/ML quality by reviewing model designs, code, and training data for accuracy, testability, and efficiency. 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.
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