Didi Chuxing (DiDi) is the worlds leading mobile transportation and convenience platform. The company offers a full range of app-based transportation and life services for over 550 million users across Asia, Latin America, Australia, and Russia, including Taxi, Express, Premier, Luxe, Bus, Designated Driving, Enterprise Solutions, Bike Sharing, E-bike Sharing, Automobile Solutions, Food Delivery, and Payment. Tens of millions of drivers who find flexible work opportunities on the DiDi platform provide over 10 billion passenger trips a year.
DiDi is committed to collaborating with policymakers, the taxi industry, the automobile industry, and communities to solve the worlds transportation, and environmental, and employment challenges with localized smart transportation innovations by leveraging its AI capabilities. By continuously improving user experience and creating social value, DiDi strives to build a safe, inclusive, and sustainable mobile transportation and convenience ecosystem for cities of the future.
DiDi uses technology to improve mobility in our world. As such, we always look for people from every background who want to support our vision, through equal opportunity and nondiscriminatory, fair and impartial treatment, completely free of prejudice related to race, nationality, religion, gender, ethnicity, age, political affiliation, sexual preference, marital status, disabilities or family responsibilities.
We are currently looking for experienced ML engineers to join our Mountain View office to develop algorithms and pipelines for DiDis autonomous driving projects. This position involves researching, development & engineering of advanced machine learning techniques into motion planning stack. These algorithms will be applied on our autonomous vehicles, and further deployed in DiDis ride sharing network.
Responsibilities:
- Research and prototype state-of-the-art ML technologies for motion planning.
- Turn prototypes into real-time performance-guaranteed on-board software via rigorous engineering efforts.
- Develop machine learning infrastructure for scalable learning-based planning algorithms.
- Research and survey the current trends in machine learning approaches to motion planning
Qualifications:
- Master or PhD degrees in Computer Science, Robotics or related disciplines
- Solid programming and high working proficiency in C++ and/or Python.
- 3 years of related working experience.
- Clear communication and a strong desire to be a part of a highly collaborative and rapidly growing team.
Preferred:
- Experience in the field of machine learning for robotics planning and control
- Experience with algorithms that use causal reasoning, sequential decision making, inverse reinforcement learning and GAIL
About the Company:
Didi Chuxing (DiDi) is the worlds leading mobile transportation platform. Were committed to working with communities and partners to solve the worlds transportation, environmental, and employment challenges by using big data-driven deep-learning algorithms that optimize resource allocation.
Didi Chuxings Autonomous-Driving team was established in 2016, and has grown to a comprehensive research and development organization covering HD mapping, perception, behavior prediction, planning and control, infrastructure and simulation, labeling, hardware, mechanical, problem diagnosis, vehicle modifications, connected car, and security, among others. Were developing and testing self-driving vehicles in China and the United States.
In August 2019, DiDi upgraded its autonomous driving unit to an independent company to focus on R&D, product application, and business development related to self-driving technologies. The new company will integrate the resources and technology of DiDis platform, continue to increase investment in R&D, and deepen collaboration with auto industry partners.
