Artificial Intelligence-Research Scientist
UBER | Toronto,Toronto,Canada
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Short Description

Uber is hiring for Artificial Intelligence-Research Scientist who will design, implement, train, and optimize novel algorithms that run at extremely low-latency on self-driving Uber vehicles and various production systems and Utilize large data-sets of of various sources, including raw sensor data such as Lidar, using large GPU compute clusters.

Job Description

Responsibilities:
  • Design, implement, train, and optimize novel algorithms that run at extremely low-latency on self-driving Uber vehicles and various production systems.
  • Utilize large data-sets of of various sources, including raw sensor data such as Lidar, using large GPU compute clusters.
  • Collaborate cross-functionally with research and engineering teams at Uber and communicate your work to colleagues and management.
  • Write patents and submit publications to top machine learning, computer vision, and robotics conferences.
 
Required Skills:
  • A degree in a machine learning related discipline -- positions are available at the PhD, MS, and BS levels.
  • A very strong quantitative background.
  • Excellent software development skills in C/C++ and/or Python.
  • Knowledge of machine learning commensurate with education/experience level and a strong publication record as relevant to education level.
  • Excellent presentation and communication skills.
  • Machine learning areas of special interests include: CNNs, RNNs, distributed GPU computing, detection, prediction, motion planning, mapping and localization.

Artificial Intelligence-Research Scientist
Mid-Senior-level Information | Technology | Information Technology Full-time Other Research Engineer | Engineer - Research Analyst | Artificial Intelligence Research Engineer | Research Scientist AI | Artificial Intelligence Developer | Research Scientist
Uber is evolving the way the world moves. By connecting riders to drivers through our apps, we make cities more accessible?opening up more possibilities for riders and more business for drivers. From our founding in 2009 to our launches in 600+ cities today, Uber's rapidly expanding global presence continues to bring people and their cities closer.