nexxen · Bellevue, WA
Skills: Node.js, SQL
Every ad request that hits our exchange runs through a real-time auction: a bidder decides, in milliseconds, whether to ask our demand partners to bid. Much of the traffic doesn’t get bid on, wasting load on both sides. Your job is to make the system smarter about what to send where. This role will be based in the Bellevue, WA office. Our team follows a hybrid schedule working in-office three days a week and remotely for the rest. This is an exempt position. Each day can be different here at Nexxen, but some of the things you can expect to be doing daily are: What You'll Do: That means you'll work across the whole stack of a live, high-throughput ad exchange: the Node.js bidder making the real-time decisions, the data pipeline that captures what happened, the SQL that turns billions of events into answers, and the machine-learning models that predict which traffic is worth sending. Few engineering roles let one person see a problem from the hot path to the model and back. This one does. We're hiring for curiosity, not a checklist. You will not have done all of this before. We care that you learn fast, reason from first principles, and want to understand why a system behaves the way it does. This role expects AI fluency. Directing AI tools well is core to how we work here. A lot of what we build, from data exploration to model code, is done by steering AI and rigorously checking its output. If that's already how you operate, you'll fit right in. If it's not, this isn't the role for you. The real-time bidder (Node.js) that decides which requests to forward to demand partners, and the throttling layer that acts on those decisions with near-zero latency. The job that aggregates traffic performance and produces the throttle layer — the bridge between our analytics and the live bidder. Data at scale: SQL over billions of bid requests and impressions to feed our research Applied machine learning: gradient-boosted models with interpretability to rank which request features…
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