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Working As A Product Engineer At Gojek Application Interview Work Culture Youtube working at gojek
Working As A Product Engineer At Gojek Application Interview Work Culture Youtube from YouTube

The service is reliable and fills the gap we have with GCM / FCM not working in China” Brent Dermott Director of IT Engineering at Motorola “As the pioneer of a super app model Gojek is designed to create value for everyone in our ecosystem our consumers driver partners merchant partners and business partners For our merchants we want to be the growth partner by.

Gojek Apps on Google Play

In Indonesia the super app Gojek offers food delivery safe rides for commuters and drivers digital payments shopping and over a dozen other services In South Korea Kakao has delved into music streaming investments ridehailing video games and social media In China WeChat has over a billion subscribers and offers everything from gaming and bill payments to.

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Gojek is beyond an app for online transportation food delivery logistics payment and daily services Gojek is also an app with a social mission to improve the welfare and livelihoods of the Indonesian people How? By empowering people! By today Gojek has partnered with over 1 million drivers 125000 merchants and 30000 other services spread across 50 cities in.

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The Gojek headquarters in Jakarta revamped an old mall into a modern working space with a cinema a playroom with arcade games and pool tables as well as office cafes and nap rooms Criticism and controversy Gojek‘s rapid growth and market dominance in Indonesia has led to prominent media coverage including criticism primarily stemming from conventional taxi and.

Working As A Product Engineer At Gojek Application Interview Work Culture Youtube

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Gojek Wikipedia

Feast: Feature Store for Machine Learning

Gojek Shopify Salesforce Twitter Postmates Robinhood Porch and Zulily are some examples of teams that are currently using the Feast Feature Store Many teams use Feast to support ML use cases like fraud detection or recommender systems Users range from researchers to smaller teams starting their ML platforms to large mature teams like.