Machine Learning Engineers & Scientists, Ride-hailing Science

Mountain View

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DiDi Labs
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Posted 4 weeks ago

The Decision Intelligence/Marketplace Efficiency Team builds AI/ML assistant technologies across DiDi’s core products including order dispatching, driver repositioning and the marketplace simulation platform. Our mission is to apply the state of the art AI/ML algorithms to make ride-hailing smarter. We are currently looking for highly motivated researchers and engineers with strong background in one or more of the following fields: reinforcement learning, deep learning, machine learning, sequence modeling, operation research.   Responsibilities:
  • Research and implement the cutting-edge machine learning algorithms and applications
  • Analysis on critical real world problems and develop solutions
  • Think creatively to identify new opportunities and contribute to high quality publications or patents
  • Work in a highly collaborative environment with teams to deliver systems from prototyping to production level
Minimum Qualifications:
  • A Masters degree in Computer Science, Machine Learning, Artificial Intelligence or similar
  • 2+ years of work experience in building production Machine Learning systems
  • Experienced with deep learning methods and neural networks in PyTorch, Tensorflow or MxNet
  • Experience in Python
Preferred Qualifications:
  • PhD degree with a focus on reinforcement learning, artificial intelligence, machine learning or related fields 
  • 3+ years experience applying machine learning techniques to real business problems
  • Strong knowledge on reinforcement learning and hands-on experience in relevant projects
  • Experience in machine learning platform such as Tensorflow, Pytorch and solid programming development skills (Python, C/C++, etc)
  • Experience in Hadoop, Spark, Hive, Cassandra, Kafka and NoSQL databases
  • Experience with bringing academic research to industry applications
  • Experience contributing to research communities including publications at conferences and/or journals

About The Company

DiDi Chuxing (“DiDi”) is the world’s leading mobile transportation platform. The company offers a full range of app-based transportation options for 550 million users, including Taxi, Express, Premier, Luxe, Bus, Minibus, Designated Driving, Enterprise Solutions, Bike Sharing, E-bike Sharing, Car Sharing, and food delivery. Daily rides have reached 30 million, allowing more than 31 million drivers on the DiDi platform to find flexible work and economic opportunities.

In 2017 we opened DiDi Labs, our first overseas research center, in Mountain View, California to not only be on the forefront of the most cutting-edge research and development in AI-based security and intelligent driving technologies, but also serve as the headquarters of DiDi’s international expansion. DiDi Labs offers the visibility and flexibility of a startup, with the stability of a mature company. We welcome people from all backgrounds who have the skills, passion and drive to join us in transforming the global transportation industry.

Job tags: AI Cassandra Deep Learning Hadoop Kafka Machine Learning ML MXNet NoSQL Python PyTorch Research Security Spark TensorFlow
Job region(s): North America
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