To strengthen our efforts, we are hiring a Machine Learning Engineer who will work end-to-end on creating new capabilities to detect changes in the environment and reflect them in our Lyft map using a wide variety of input sources from the Lyft fleet (image, telemetry, ...). For this we are looking for someone who is fluent with state of the art machine learning approaches, who values software engineering best practices and also loves the algorithmic and geospatial side of the challenge.
Our technology stack involves deep learning toolkits like PyTorch and relies on technologies like Kubernetes to leverage the models at large scale. You will work with incredibly passionate and talented colleagues from machine learning, data science, and engineering on projects that delight our passengers and drivers – powered by an up to date map.
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Benefits
Lyft, Inc. is an American company offering mobility as a service, ride-hailing, vehicles for hire, motorized scooters, a bicycle-sharing system, rental cars, and food delivery in the United States and select cities in Canada. Lyft sets fares, which vary using a dynamic pricing model based on local supply and demand at the time of the booking and are quoted to the customer in advance, and receives a commission from each booking. Lyft is the second