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Ready Player Me
Research Engineer
3 months ago | 146 views | 2 applications

Research Engineer

Full-time
Germany
Per year
$90,000 To $120,000

About the company

Who we are There are millions of virtual worlds people visit every day to play games, socialise, and collaborate. Today, most of those worlds are closed and disconnected walled gardens. We are on a mission to break down virtual walls to enable a more open and connected virtual world. Product Ready Player Me is a cross-game avatar platform for developers, players, and content creators. We give players an avatar that travels with them across thousands of experiences and becomes their virtual identity. For game developers, we are an end-to-end avatar system that saves development time and helps them monetize better. Our avatar tools are used by 9000+ games, apps, and leading brands. Present and future We are backed by top investors like Andreessen Horowitz (a16z), Plural, David Baszucki, co-founder of Roblox, Justin Kan, co-founder of Twitch, Sebastian Knutsson & Riccardo Zacconi, King Games co-founders, Konvoy Ventures, Endeavor and Samsung Next among many others. Our team has built avatar systems for companies like Tencent, Huawei, HTC, and Verizon since 2014. We are working with well-known brands like Warner Bros, Adidas, Tommy Hilfiger, Dior, New Balance, and RTFKT. With more than 9,000 developers and millions of users, Ready Player Me is the world's leading avatar platform. Come join us on this exciting journey and play a key role in shaping the future of how we represent ourselves in games and virtual worlds, while breaking down those virtual walls!

Job Summary

Your daily adventures will include:

📍Applying generative AI for 3D content creation and shipping it as part of the product. 📍Collaborating closely with 3D artists and engineers to iterate and improve your solutions. 📍Inspiring innovation and coming up with creative and useful applications of AI to enhance the product.

What you bring:

📍4+ years of experience working with Computer Vision and Deep Learning. 📍An educational background in software engineering, computer graphics, computer vision, machine learning, AI, or related disciplines. 📍Product-mindedness: the ability to see a research idea through from initial conception to eventual application.

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