Sara Software Systems
Software Engineer III, AI/ML Natural Language Processing, Gemini
Sara Software Systems, Mountain View, California, us, 94039
Software Engineer III, AI/ML Natural Language Processing, Gemini
Google
Published 18 Sep 2024 Share this job
Mountain View, CA, USA $136,000-$200,000 annually Full Time 27500 - 275000 people Role Highlights
AI NLP Generative AI Conversational AI Information Retrieval Computer Science Full Stack Data Processing Data Structures System Design Infrastructure Deployment PhD Search Storage Security UI Operations Tools, Libraries and Frameworks
IOS Description
Google's software engineers develop technologies that transform how users connect and interact with information through projects involving artificial intelligence and natural language processing. The role entails writing development code, collaborating on best practices, and contributing to documentation. Engineers will implement NLP solutions and engage with machine learning infrastructure for model optimization and data processing. Opportunities exist to switch teams and projects as the business evolves, allowing engineers to tackle new challenges across the tech stack. Required Qualifications and Skills
A bachelor's degree or equivalent practical experience is required, along with 2 years of software development experience or 1 year with an advanced degree. Understanding data structures and algorithms for the same duration is necessary. Experience with natural language processing concepts and machine learning infrastructure is also required for at least one year each. Preferred qualifications include a master's degree or PhD in Computer Science or related fields. Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information. At gTech's Users and Products team, innovations are focused on enhancing user engagement and solving complex customer needs through technical expertise and a deep understanding of Google's and Alphabet's broad product environments. The team acts as a bridge between Google’s users and its product teams, ensuring that user insights are integrated into product offerings which support numerous annual product launches. The newly formed Machine Learning Data Operations (MLDO) team within gUP Operations plays a critical role in delivering and tuning machine learning and GenAI data operations across Google’s product suite, leveraging extensive global vendor networks. Google's overarching goal is to create impactful products and services, with gTech playing a strategic role in bringing these solutions to fruition through technological and operational expertise.
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Published 18 Sep 2024 Share this job
Mountain View, CA, USA $136,000-$200,000 annually Full Time 27500 - 275000 people Role Highlights
AI NLP Generative AI Conversational AI Information Retrieval Computer Science Full Stack Data Processing Data Structures System Design Infrastructure Deployment PhD Search Storage Security UI Operations Tools, Libraries and Frameworks
IOS Description
Google's software engineers develop technologies that transform how users connect and interact with information through projects involving artificial intelligence and natural language processing. The role entails writing development code, collaborating on best practices, and contributing to documentation. Engineers will implement NLP solutions and engage with machine learning infrastructure for model optimization and data processing. Opportunities exist to switch teams and projects as the business evolves, allowing engineers to tackle new challenges across the tech stack. Required Qualifications and Skills
A bachelor's degree or equivalent practical experience is required, along with 2 years of software development experience or 1 year with an advanced degree. Understanding data structures and algorithms for the same duration is necessary. Experience with natural language processing concepts and machine learning infrastructure is also required for at least one year each. Preferred qualifications include a master's degree or PhD in Computer Science or related fields. Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information. At gTech's Users and Products team, innovations are focused on enhancing user engagement and solving complex customer needs through technical expertise and a deep understanding of Google's and Alphabet's broad product environments. The team acts as a bridge between Google’s users and its product teams, ensuring that user insights are integrated into product offerings which support numerous annual product launches. The newly formed Machine Learning Data Operations (MLDO) team within gUP Operations plays a critical role in delivering and tuning machine learning and GenAI data operations across Google’s product suite, leveraging extensive global vendor networks. Google's overarching goal is to create impactful products and services, with gTech playing a strategic role in bringing these solutions to fruition through technological and operational expertise.
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