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PT Tokopedia
http://www.tokopedia.com/careers

Machine Learning Engineer - AI Platform

Looking for
S1
S2

Tokopedia is an Indonesian technology company with a mission to democratize commerce through technology. Since its founding in 2009, Tokopedia has been a force that pioneers digital transformation in Indonesia. Consistent in building a bridge to connect millions of people, we have now reached more than 99% of districts and empowered over 12 million of merchants across the archipelago. Our vision is to build a Super Ecosystem where anyone can start and discover anything. To achieve that, we are working hand in hand alongside various strategic partners through our marketplace, logistics, payments, and financial technology businesses, while also providing more than 500,000 payment points across Indonesia, and offering more than 40 digital products that simplify the lives of many. Our team has grown rapidly over the years, as we now have more than 6,000 Nakama spread across several regions; Jakarta, Semarang, and Yogyakarta. With Tokopedia’s 3 DNAs instilled as our core values, we constantly innovate to provide the best experience for our millions of users and contribute to advancing a better Indonesia through technology. In 2021, Tokopedia and Gojek have united to become GoTo by combining e-commerce, on-demand, and financial and payment services. With a mission to empower progress, we continuously create a comprehensive ecosystem for daily life. Let’s find your purpose with us, and join our mission! www.tokopedia.com/careers

Requirements:

  • Min. Bachelors in Math, Statistics, Computer science, or Engineering

  • Hands-on experience in software engineering using python

  • Collaborative team player

Job Description

  • Develop Model Platforms and/or features of the respective platforms under the direction of the Lead

  • Research into emerging technologies (whether proprietary or open-source) that may impact Data Science model platforms

  • Conduct small scale trials of the emerging technologies and assess whether they should be incorporated into the model platforms

Only shortlisted candidates will be contacted.
31 December 2022
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