Uber AI Labs gathers top scientists and engineers to create the next generation of machine learning algorithms to improve the lives of millions of people worldwide.
Come help us turn the dreams of science fiction into reality. We conduct basic and applied research into problems such as self-driving cars, optimizing cities, and keeping riders safe.
About the Role
Uber AI Labs is looking for Speech research scientists to create the next generation of Conversational AI algorithms to improve the lives of millions of people worldwide. You will be conducting research in speech and spoken language processing with focus on multi-modal conversational understanding systems, more specifically, building and improving the state-of-the-art in speech recognition (ASR), speech synthesis (TTS), and hot-word detection; collaborating with other AI teams in Uber, and working to deliver cutting-edge research to product teams across Uber.
What You’ll Do
Develop working solutions to difficult practical problems working with the product teams and other research teams.
Deliver state-of-the-art Speech solution to a product team and transfer the knowledge and ability necessary to maintain the solution.
Communicate and work closely with connected teams
Be able to acquire and process the necessary data from Uber’s data stores
What You’ll Need
Excellent technical skills including:
PhD level degree in a highly technical quantitative field from Electrical Engineering, Computer Science, or a similar field.
Proven track record of innovation and demonstrated ability to make deep learning models work in practice for speech and spoken language processing.
Experience with experimental research, evaluation, data collection, and analysis with scientific thinking.
Experience with existing ASR (such as Kaldi) and/or TTS systems, and distant microphone recognition.
Strong programming experience:
Competency in one key language, preferably Python or C++
Experience with deep learning frameworks (TF, PyTorch, etc.)
Must be able to communicate with other AI researchers and Uber product teams. This will require the ability to clearly explain how complex models work and what their benefits / drawbacks are.
At Uber we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Uber is proud to be an equal opportunity workplace. 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.