Opis oferty:

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. In this role, as part of an entrepreneurial team in this growing business, you will help shape the future of businesses of all sizes using Artificial Intelligence (AI) and Machine Learning (ML). You will work with Product Development and Technical Sales teams as a Generative AI subject matter expert to bring Google Cloud AI products to customers and partners. You will help prospective customers and partners understand the power of Google AI, explaining technical features, helping customers design architectures, build AI powered applications, and problem-solving any potential roadblocks.

Wymagania:

• Bachelor’s degree or equivalent practical experience
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree
• 2 years of experience working with Generative AI, Vertex AI and Generative AI Agent
• 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging)
• Master's degree or PhD in Computer Science or a related technical field
• 2 years of experience with data structures or algorithms
• Experience architecting and developing software or infrastructure for scalable, distributed systems and with machine learning technologies
• Experience building scalable end-to-end software architectures that use agentic or GenAI driven capabilities
• Experience with Vertex Search
• Understanding of responsible AI practice