Software Engineer - Machine Learning Infrastructure

Company Name: Didi Research America, LLC

Job Location: Mountain View, CA

Job title:  Software Engineer – Machine Learning Infrastructure

Wage: $160,000 - $185,000

Education: Master’s degree in Computer Science, Electrical Engineering, Computer Engineering, Design, or related technical field

Duration:  Regular Hire 

Work week:  Full-time

Supervision Experience Required: No

 

Experience: 2 years of experience in Computer vision, robotics, machine learning, artificial intelligence, or related.

 

Job duties: Develop algorithms and pipelines for company projects in intelligent driving technologies.  Apply state of the art AI algorithms on cars to make driving smarter and safer. Responsible for developing state of the art tools and platforms for supporting machine learning model development in intelligent driving, so that the machine learning models and algorithms to be deployed to real vehicles can be developed with high efficiency and rigorous verification.  Develop and deploy machine learning tools and platforms, including data curation and annotation, machine learning workflow platform and evaluation system, to support machine learning model development in smart driving scenarios. Survey and research for state of the art algorithms and publications in the computer vision, machine learning, and robotics sectors. Contribute to company’s intellectual property through patents.

Please Apply online at https://boards.greenhouse.io/didi

 

 

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