Staff Software Engineer, Generative AI, Google Cloud AIGoogle
Published 18 Sep 2024
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Mountain View, CA, USA
$189000-$284000 annually
Full Time
27500 - 275000 people
Role Highlights
Generative AI
Information Retrieval
Computer Science
Integrations
Full Stack
Software Design
Data Structures
System Design
Technical Leadership
Testing
Frontend
Search
Storage
Security
Cloud
Research
Optimization
Interfaces
Tools, Libraries and Frameworks
Tensorflow
Description
Google is seeking individuals who can contribute to the development of next-generation technologies, emphasizing the application of artificial intelligence across various domains.
The role involves tackling high-impact AI challenges and collaborating with research teams to innovate and enhance large-scale software solutions.
Engineers will be expected to manage project priorities while aligning teams on goals and outcomes. This position offers opportunities to work on meaningful projects that aim to push the boundaries of technology and its real-world applications.
Required Qualifications and Skills
A Bachelor's degree or equivalent practical experience is required, alongside significant experience in software development, data structures, algorithms, testing, and software design.
A preferred Master's degree or PhD in a technical field reflects a higher qualification. Experience in a leadership role, particularly in cross-functional projects, is also considered advantageous.
Familiarity with machine learning, artificial intelligence, and related disciplines is essential for the role.
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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