ML Infrastructure Engineer (Autonomous Data Platform)

Lyft Palo Alto , CA 94306

Posted 2 months ago

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.

The self-driving industry has been revolutionized by advances in deep learning in recent years; accurate, large scale, and diverse datasets are driving its success. At Lyft we are tackling the self-driving problem from a new angle by leveraging our large fleet of drivers and open partner network. We are forming a new team to collect data from this large fleet of vehicles to empower self-driving solutions. We are looking for passionate ML software engineers to build the data solution from the ground up.


  • Design and implement large scale data pipeline to process imagery data.

  • Build and tune deep learning models for driving scenario detection.

  • Work with cross team, cross-functional peers to define scope; turn business requests into technical solutions

  • Mentor peer engineers to deliver a high quality, scalable system

Experience & Skills:

  • 5+ years of relevant professional experience (computer vision, deep learning)

  • Deep experience working on multiple aspects of machine learning and computer vision technology such as Perception, objection recognition/tracking, and deep learning

  • Extensive programming experience in Python or C++

  • Passionate about the self-driving problem space and has the appetite to learn more

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 modern hardware such as TPUs, automotive or embedded hardware

  • 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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ML Infrastructure Engineer (Autonomous Data Platform)