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Rockwell Automation
A leading technology firm in Singapore is seeking a Software Engineer to lead a research and development team for the expansion of AI features. Candidates should have significant experience in software development and machine learning. Responsibilities include mentoring team members and collaborating with cross-functional and remote teams. The ideal applicant will possess a Bachelor's degree and 8 years of relevant experience, including skills in ML infrastructure and product evaluation strategies.
The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
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, you will be responsible for leading a research and development team for the i18n expansion for AI features, quality evaluations and rater quality of intelligent applications on Pixel and Android, leveraging the latest on-device and server based models. This includes tasks such as creating auto-raters, ensuring metrics consistency, establishing benchmarks across the set of features and products, working with teams across Google to design and align on appropriate quality and performance bar for AI launches.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.