Research & Development, Advanced Technologies Group in Toronto, Canada
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
You will participate in the unique effort of bringing innovative state-of-the-art deep-learning models for self-driving into production, and onto autonomous vehicles. You will collaborate closely with a team of highly skilled researchers and engineers, tackling an array of challenges related to applying machine learning to self-driving vehicles. You will work on a variety of research engineering tasks related to algorithms for detection & perception, prediction, motion planning & automated map production, to name a few.
What You’ll Need
Minimum 4 years experience building production level software systems, preferably with Python and C++ (candidates not meeting this requirement but excel in other competencies will be considered)
Expertise in performance evaluation and optimization of deep learning or computational science algorithms, particularly using GPUs and distributed computing
Experience with parameter and architecture tuning of deep learning algorithms
Solid knowledge of Python and C++ internals, including scientific computing libraries
Demonstrable track-record of learning and deep-diving as needed into complex existing and new technologies
Intense sense of ownership, initiative-taking, and a can-do attitude
Great attention to detail and a data-driven approach to problem solving
Team-player with a strong collaboration and communication skills, who responds positively to feedback
Expert level knowledge of one or more of the following: TensorFlow, PyChram, CUDA, cuDNN, OpenCL
Familiarity with considerations related to sensor data (RGB, LiDAR) such as calibration, data capturing, noise sources, transformations, etc.
Familiarity with standard web software frameworks for implementing internal research tools
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.