Join Tinder’s Recs Infrastructure team to build the backbone of our recommendation systems that power connections for millions of users daily. You’ll work on cutting-edge deep learning model serving technologies (e.g. NVIDIA Triton, RayServe, etc.), multi-phase ranking infrastructure, and Elasticsearch-based retrieval systems. This role directly impacts Tinder’s core matching experience - your work on scalable, performant, low-latency retrieval and ranking infrastructure will drive user retention and engagement. If you’re passionate about recommender systems, recommendation infrastructure at scale, and want to see your work impact millions of real relationships, this is an exceptional opportunity.
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Job Type
Full-time
Career Level
Mid Level