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.
Our mission aims to improve Pixel software experience and quality. As a Software Engineer, Machine Learning for Pixel, you will develop software on Android platform and enable intelligent experience in Android platforms and Pixel products.
Making the world's information universally accessible and useful doesn't stop at the desktop. The Mobile team builds tools to get you the information you need no matter where you are.
Android has become the world's most popular mobile ecosystem, powering billions of devices, from smartphones to tablets, watches to TVs and everything in between.
Whether adding to the core Android experience, forging new markets for digital content, creating immersive and portable versions of our products or managing relationships with a global community of developers, the Mobile team is giving you Google on the go.
Collect external and internal data sets, employ data processing / transformation and define novel training objectives.
Leverage the state-of-the-art techniques of natural language models to generate diverse training data.
Participate in the component architecture and code development and also contribute to inference, API strategy and innovations.
Minimum qualifications :
Bachelor's degree in Computer Science, a related technical field or equivalent practical experience.
Software development experience in one or more general purpose programming languages including but not limited to : Java, C / C++ or Python.
Educational experience or working experience in Machine Learning and Natural Language Processing.
Ability to speak and write in English fluently.
Preferred qualifications :
Master or PhD degree in Computer Science or related field.
Experience with Android architecture / programming.
Experience with machine learning frameworks including TensorFlow and full-stack software.
Proven track record optimizing / architecting software / hardware solutions for machine learning, natural language processing, battery power and performance analysis.
Strong track record of outreach to machine learning or natural language model researchers and application developers.