Uber Elevate's Advanced Technologies Center (ATCP)
Uber Elevate's Advanced Technologies Center (ATCP) is focused on advancing the state of knowledge in digital sciences, and developing advanced technologies that can help make cities smarter, better, and more efficient places to live and work. Based in Paris, France, the center brings together scientists and engineers working on many exciting topics that impact Elevate's vision of future air transport, including optimization, artificial intelligence, airspace management, sensing & perception, autonomous control, energy management and communication networks. Large scale combinatorial constraint satisfaction and optimization problems naturally arise at many levels in this context, which call for new distributed optimization algorithms that can robustly scale to very large numbers of processing cores.
What You'll Do
The goal of this 6 month internship is to apply recent results from machine learning to the efficient processing of large scale distributed decision and optimization problems. It will consider the SAT, and Pseudo-Boolean formalisms. It will exploit several levels of predictions and inferences.
Keywords: Predicted execution, Large Scale Combinatorial Search, Machine Learning.
What You'll Need
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.
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.