Algorithm Engineer - Pangle Ranking

lobal app growth platform, providing a one-stop service for user growth and ad monetization solutions for mobile applications. Pangle helps apps succeed globally, by driving ad value with efficient conversions.
Since launching the brand in 2018, Pangle has partnered with top game publishers, and worked with over 100,000 apps worldwide. By focusing on effective conversions and developing several industry-leading AEO, Pangle has become the go-to advertising platform, with 11 billion global daily ad impressions reaching 900 million daily active users. From 2019 to 2023, Pangle has successively launched in Japan, South Korea, Taiwan, Southeast Asia, the Middle East, and other regions, rapidly claiming a leading position in the game and content industries. We provide rapid, effective, high-quality user acquisition solutions for advertisers such as games, comics, and pan-entertainment

Responsibilities

1. Responsible for bidding strategy and algorithm in Pangle ad serving, as well as improvement in stages including targeting, recall, precision ranking, bidding, etc., to ultimately optimize monetization efficiency and ad ROI.
2. In charge of efficiency improvement and effect optimization of large-scale online learning deep models.
3. Accountable for utilizing strategic and model methods to explore the newest monetization technologies and commercial product designs from aspects like attribution measurement, serving experience, and long-term sustainable advertising business, and suggesting innovative vertical advertising solutions.
4. Participating in the design, development, and iteration of ad models such as CTR and CVR.

Qualifications

1. Hands-on optimization experience of large-scale advertising system, expertise in developing and optimizing bidding algorithm and strategy, familiar with advertising business and ad serving mechanism, well-versed with bid products like OCPC/OCPM/AEO.
2. Excellent coding skills, solid foundation in data structure and algorithm.
3. Strong foundation in machine learning/deep learning theories, proficient in at least one mainstream deep learning programming framework.
4. Good team spirit, strong communication abilities; proactive and self-motivated, with the ability to drive team development.
5. Sensitive to data and business, passionate about solving challenging problems, with strong capacity for abstraction, project promotion, and innovation.

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