At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world.
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.
About the Role
Uber AI Labs is looking for 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 language processing with focus on multi-modal conversational understanding systems, more specifically, building and improving the state-of-the-art in deep learning based dialogue models for core tasks such as semantic parsing, dialogue modeling, and language generation; collaborating with other AI teams in Uber, and working to deliver cutting-edge AI 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 AI 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 Computer Science, Electrical Engineering, or a similar field.
Proven track record of innovation and demonstrated ability in terms of publications to make deep learning models work in practice for speech and language processing, preferably in dialogue systems.
Experience with experimental research, evaluation, data collection, and analysis with scientific thinking.
Strong programming experience:
Competency in one key language, preferably Python
Experience with deep learning frameworks (TF, PyTorch, etc.)
You 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.