What You'll Need
Uber AI's mission is to optimize and innovate Uber's products and business using machine learning and AI. The group consists of Uber's machine learning platform team which enables machine learning at scale, AI building blocks which enable product teams to build unique experiences and engagements with product teams on their business problems.
The group consists of machine learning engineers, mobile engineers, backend engineers and research scientists and engineers.
About the Role
Collaborates with partner teams across Uber on the design, development, optimization, and productionization of machine learning solutions and systems for core business problems.
About the Team
Uber AI is an integrated technology and research organization. The mission of Uber AI is to make AI and machine learning maximally impactful at Uber by pushing the frontiers of research, developing high quality scalable platforms, and collaborating on innovative applications. To further this mission, the group brings together AI-focused engineering, product, and research teams under a single umbrella to ensure cutting-edge AI innovation is rapidly transferred into company-wide platforms, accelerating Uber's positive impact on the world.
Our team at Uber AI works on optimization problems in the Uber marketplace, including pricing, incentives and forecasting, using deep learning and causal methodology.
What you'll do

• Develop innovative ML/AI solutions for challenging business problems that are fundamental for Uber
• Collaborate with data science and engineering teams to integrate and validate ML solutions end-to-end
• Deliver enduring value in terms of software and modeling artifacts

Basic Qualifications

• • Masters in EE, CS or related disciplines
  • 5+ years of industry/academic experience
  • Expertise in machine learning, especially deep learning.
  • Familiarity with deep learning frameworks such as Tensorflow, Keras, Pytorch
  
  Preferred Qualifications:
  
  • PhD in machine learning
  • Experience in causal inference