At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.
Our key ML projects are:
Card Scan Model - Use Computer vision & ML to develop models that can verify actual physical credit cards for Lyft customers to confirm the ownership for credit cards and deter stolen card usage to prevent chargebacks.
Face Auth Model - Use Computer vision & ML to improve models that can detect human faces and accurately match against existing or new pictures and help verify identity & mitigate abuse at Lyft.
Responsibilities:
Experience:
Benefits:
Lyft proudly pursues and hires a diverse workforce. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter now if you wish to make such a request
Lyft, Inc. is an American transport service support provider that develops, markets, and operates a mobile app, offering ride-hailing, vehicles for hire, motorized scooters, a bicycle-sharing system, rental cars, and food delivery.