Senior Software Engineer, Vertex AI Platform @ Google
3 dni temu
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.
The Vertex AI Platform team is introducing cutting edge AI/ML capabilities, including Generative AI to Google Distributed Cloud (GDC) Platform to make it super reliable, performant, cost effective, and simple for GDC customers.
In this role, you will focus on bringing the machine learning investments to Vertex to provide the machine learning infrastructure, tools, and services that power GDC features.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Minimum qualifications: Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
3 years of experience testing, maintaining or launching software products, and 1 year of experience with software design and architecture.
3 years of experience with AI/ML algorithms and tools, deep learning, or natural language processing.
Preferred qualifications: Master's degree or PhD in Computer Science, or a related technical field.
1 year of experience in a technical leadership role.
Experience developing accessible technologies.
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.
The Vertex AI Platform team is introducing cutting edge AI/ML capabilities, including Generative AI to Google Distributed Cloud (GDC) Platform to make it super reliable, performant, cost effective, and simple for GDC customers.
In this role, you will focus on bringing the machine learning investments to Vertex to provide the machine learning infrastructure, tools, and services that power GDC features.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
,[Enable Generative AI capabilities on Kubernetes so they can run on Google Distributed Cloud., Collaborate with internal teams such as Google Kubernetes Engine (GKE), TensorFlow, Research and Machine Intelligence, and Sister teams in Cloud AI in order to use their technology., Implement robust testing and validation processes to ensure consistent, reliable production services., Work with external customers to understand their requirements, onboard them, and help with load tests, bugs, and questions., Build low latency systems.] Requirements: AI, Machine learning, Distributed computing, Data structures, Deep learning, Natural language processing, Software Design, PhD, Degree, Leadership, accessible technologies Additionally: Private healthcare, Lunch card, International projects, Free coffee, Gym, Canteen, Bike parking, Free snacks, Free beverages, Free lunch, Mobile phone, In-house trainings, In-house hack days, Modern office, No dress code, Free breakfast.
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