Software Engineer III, Applied AI
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Minimum qualifications:
- 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 with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
Preferred qualifications:
- Bachelor’s degree in Computer Science, Electrical Engineering, Math or related quantitative field.
- 3 years of experience in software development.
- 3 years of experience developing resource oriented APIs.
- 3 years of experience writing JavaScript or TypeScript, Java, Kotlin, Golang, or SQL.
- 3 years of experience designing and debugging databases.
- Experience in microservice design and implementation, and understanding of how to best leverage AI tools for prototyping.
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.
As a Software Engineer you will drive applied AI innovation through prototyping and experimentation. This role involves transforming cutting-edge concepts into working prototypes, collecting user feedback, and helping to validate AI's potential across tools. In this role, you will grow in an agile, exploratory setting, be comfortable with setbacks, quickly grasp new business domains, and be enthusiastic about uncovering novel AI solutions for real-world issues.
Applied AI builds conversational agents deployed at a large scale that achieve very meaningful results in the real world. Some examples include the customer agent built for large call center environments, to fast food ordering handled by our Food AI agent. The team is transforming how enterprises connect with customers through the power of AI. We also offer unique experiences for team members where you get to work directly with the model builders (Google DeepMind / Vertex), learn and work with brilliant AI leaders, and have access to Global 1000 customers via our existing Google Cloud relationships. The opportunity in this space is tremendous.
Responsibilities
- Develop and iterate on working prototypes using the latest Google AI models to test assumptions and gather user feedback.
- Collaborate in design sprints to explore problem spaces and generate initial, non-engineering prototypes.
- Contribute to shaping immature ideas and concepts into firmer proposals and robust business cases.
- Create, test, debug, maintain, and update full-stack web applications and services in collaboration with Product, UX and partner engineering teams.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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