Software engineer, full-time

DeepMap is a fast-growing startup company located in Palo Alto, California, the heart of Silicon Valley. Our mission is to build revolutionary, high-definition mapping and localization services for self-driving cars. We have top notch engineers from most prominent universities and software companies and are well funded by top ranked VCs. Business Insider ranked DeepMap as top 17 startups launched in 2017 and top 50 startups that will boom in 2018!

Faculty Candidate Talk: Scalable Learning Over Distributions

A great deal of attention has been applied to studying new and better ways to perform learning tasks involving static finite vectors. Indeed, over the past century the fields of statistics and machine learning have amassed a vast understanding of various learning tasks like clustering, classification, and regression using simple real valued vectors. However, we do not live in a world of simple objects. From the contact lists we keep, the sound waves we hear, and the distribution of cells we have, complex objects such as sets, distributions, sequences, and functions are all around us.

Faculty Candidate Talk: Visual Perception and Navigation in 3D Scenes

Abstract: In recent times, computer vision has made great leaps towards 2D understanding of sparse visual snapshots of the world. This is insufficient for robots that need to exist and act in the 3D world around them based on a continuous stream of multi-modal inputs. In this talk, I will present some of my efforts in bridging this gap between computer vision and robotics. I will show how thinking about computer vision and robotics together, brings out limitations of current computer vision tasks and techniques, and motivates joint perception and action solutions for robotic tasks.

Methods and Systems for Understanding Large-Scale Internet Threats


The value and power mediated by the global, interconnected systems of today’s
Internet attract adversaries who seek to exploit these systems for economic,
political or social gain. Yet, the underlying complexity of Internet
infrastructure, the layering of its services, and the indirect nature of its
business relationships can make it challenging to identify even the existence
of adversaries manipulating systems for their benefit.


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