Computer Vision / Perception Engineer, Mapping


At Lyft, community is what we are and it’s what we do. It’s what makes us different. To create the best ride for all, we start in our own community by creating an open, inclusive, and diverse organization where all team members are recognized for what they bring.

We care deeply about delivering the best transportation experience; this means the best experience for the passenger and the best experience for the driver. We believe this quality of service can only be achieved with a deep understanding of our world, our cities, our streets… how they evolve, how they breathe. We embrace the powerful positive impact autonomous transportation will bring to our everyday lives and with our ambition, we will become a leader in the development and operation of such vehicles. Thanks to our network, with hundreds of millions of rides every year, we have the means to make autonomy a safe reality. 

Detailed structural and semantic representations of the world are critical for Autonomous Vehicles (AV). The software engineer will be responsible for building solutions that enable us to build rich HD maps for AVs. The work will constitute a combination of computer vision, deep learning algorithms, and deploying the solutions at scale in distributed environments.


  • Utilize and implement Image and Lidar based localization
  • Build and tune deep learning models for perception and segmentation
  • Extract structural and semantic information from imagery and Lidar for the purpose of map making
  • Scale and deploy AV mapping solutions for integration with self-driving systems

Experience & Skills:

  • Masters in Computer Science or related field with at 5+ years of relevant professional experience (computer vision, deep learning, geometric models, localization)
  • Deep experience working on multiple aspects of machine learning and computer vision technology such as Perception, objection recognition, localization, and deep learning
  • Extensive programming experience in C++ and Python
  • Strong background in object oriented design, prioritizing testability, and reusability

Nice To Have:

  • PhD in Computer Science, Electrical Engineering, or related field - computer vision and deep learning
  • Experience converting publications to actual implementations
  • Experience developing deep nets for inferencing at scale or on embedded platforms
  • Experience in Open Computer Vision (OpenCV) code, TensorFlow, Caffe, or related technologies
  • Experience in robotics, real time systems, embedded system, or self-driving technologies
  • Experience launching products containing deep learning algorithms

Lyft is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Lyft does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Lyft will also consider for employment qualified applicants with arrest and conviction records.

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Confirmed 7 hours ago. Posted 30+ days ago.

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