Member of Technical Staff (RecSys)

Our recommendation system doesn't exist yet, and it needs to. We have a large and fast-growing catalog of games, millions of users, and new content being created every day. What you show someone, and when, is the difference between a session that lasts two minutes and one that lasts two hours. As our RecSys founding member, you'll own this problem end-to-end - set the architecture, build the foundation, and grow it from rule-based systems to deep learning. The decisions made now will shape how discovery works on the platform for years.

You'll report to the CTO, and work directly with the co-founders. This is a 0 to 1 build with full ownership.

• Design and build the systems that decide which games surface to which players, from candidate retrieval through final ranking
• Own the full data pipeline - ingestion, feature engineering, training data construction, and low-latency serving
• Build personalization systems and models that adapt to user behavior, preferences, and context over time