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Note: Google’s hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following:
In-office locations: Seattle, WA, USA; Kirkland, WA, USA.
Remote location(s): United States. Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development, and with data structures/algorithms.
- 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
- Experience with machine learning/AI in a software development environment.
Preferred qualifications:
- 3 years of experience in AI/ML inference stack.
- Experience in a client-facing role.
- Experience in Kubernetes.
- Excellent communication skills.
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.
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.
- Work with innovative AI/ML Google Cloud Platform (GCP) customers to understand their technical needs/industry gaps and develop products/solutions that accelerate their journeys.
- Collaborate with internal and external teams to improve the AI ecosystem.
- Stay up-to-date on the latest ML research and technologies, contribute to external facing documentation and blogs.
- Enable ML models at massive scale for large language modeling, computer vision, machine translation, rankings and recommendations, speech recognition, and more.
- Understand the Google Kubernetes Engine (GKE) AI solutions and train other individuals to scale the program.
Build for everyone Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university... Read more