The Learning Experience #351
Staff Software Engineer, Machine Learning, Search
The Learning Experience #351, Mountain View, California, us, 94039
Staff Software Engineer, Machine Learning, Search
Google
Published 22 Aug 2024Share this job
Mountain View, CA, USA$189000-$284000 annuallyFull Time27500 - 275000 peopleRole Highlights
AINLPInformation RetrievalComputer ScienceFull StackSoftware DesignData StructuresSystem DesignTechnical LeadershipTestingPhDSearchStorageSecurityUIInfrastructureOperationsTools, Libraries and Frameworks
TensorflowDescription
Google's software engineers develop advanced technologies that change how users connect and interact with information. They work on projects that require solving complex engineering challenges and expanding infrastructure for universal accessibility. The role involves managing project priorities, designing, testing, deploying, and enhancing software solutions. Engineers in this role are expected to display leadership qualities and take on diverse problems across the full stack as the company evolves.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.Share & Disclaimer
Share this job
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.
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Published 22 Aug 2024Share this job
Mountain View, CA, USA$189000-$284000 annuallyFull Time27500 - 275000 peopleRole Highlights
AINLPInformation RetrievalComputer ScienceFull StackSoftware DesignData StructuresSystem DesignTechnical LeadershipTestingPhDSearchStorageSecurityUIInfrastructureOperationsTools, Libraries and Frameworks
TensorflowDescription
Google's software engineers develop advanced technologies that change how users connect and interact with information. They work on projects that require solving complex engineering challenges and expanding infrastructure for universal accessibility. The role involves managing project priorities, designing, testing, deploying, and enhancing software solutions. Engineers in this role are expected to display leadership qualities and take on diverse problems across the full stack as the company evolves.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.Share & Disclaimer
Share this job
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.
#J-18808-Ljbffr