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2019 PhD Data Scientist Internship - NLP / Conversational AI

Data Science, University

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

This internship role involves bringing cutting edge Natural Language Processing and Conversational AI technologies to Uber, as well as developing state of the art algorithms in these fields.

What You’ll Do

  • Collaborate with different scientists at Uber to define the project you will be working on
  • Conduct literature review on the project
  • Potentially invent new approaches to solving the problem in hand
  • Implement the solutions and provide analysis of the discovered results

What You’ll Need

  • Ph.D. student (anticipated graduation in 2020) in computer science or related disciplines
  • Strong background in Machine Learning and Deep Learning
  • Strong background in Natural Language Processing, Conversational AI, or Dialog Systems
  • Strong command of modern Deep Learning frameworks such as Tensorflow or PyTorch
  • Strong programming skills in Python

Bonus Points For

  • Strong publications in the field
  • Related MSc or PhD thesis topics

About the Team

The NLP and Conversational AI is a cross-organizational team here at Uber that brings many scientists and engineers together to develop modern NLP solutions and AI-based dialog systems for Uber.

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En Uber no solo aceptamos la diferencia; la celebramos, la apoyamos y la valoramos para beneficio de nuestros empleados, de nuestros productos y de nuestra comunidad. Uber se enorgullece de ser un lugar de trabajo con igualdad de oportunidades y es un empleador de acción afirmativa. También estamos comprometidos con el empleo en igualdad de oportunidades sin considerar raza, color, origen familiar, religión, sexo, origen nacional, orientación sexual, edad, ciudadanía, estado civil, condición de discapacidad, identidad de género o estado de Veterano.