QualificationsPyTorchNatural language processingTensorFlowC++Machine learningDoctoral degreeMaster’s degreeDoctor of Philosophy
Master’s degree in Computer Science, a related field, or equivalent practical experience.
Experience with Psychology.
Experience with C++, Python, and Machine Learning libraries (e.g., JAX, TensorFlow, PyTorch, etc.).
PhD in Computer Science, Psychology, Linguistics, or a related subject.
Experience in evaluation techniques, including experiment design and statistical analysis.
About the job
At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.
Our team produces synthesized speech across multiple languages that are used in a range of Google products (e.g., Google Assistant, Search, Maps, Translate, Google Cloud, etc.).
Text-to-Speech (TTS) research focuses on the development of prosodic and acoustic models for TTS and developing paradigms to evaluate specific aspects of TTS to meet the evolving demands in the quality of TTS in situations and applications.
Google’s mission is to organize the world’s information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user’s interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people’s lives better through technology.
Develop and test while using paradigms in TTS evaluation.
Contribute to a research agenda.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.