NewsBreak

Join Nearby AI’s founding team to build an end-to-end personalized provider-recommendation pipeline using LLMs, retrieval, ranking, and agent workflows. The internship offers hands-on experience shipping AI-powered marketplace features from design through launch.

Senior Machine Learning Engineer building end-to-end user-signal systems that power advertising targeting, bidding, and ranking at internet scale. The role combines identity prediction, large-scale feature engineering, online serving, and measurable business impact.

Build and own recommendation, ranking, engagement, and marketplace-matching systems for a trust-first local home services platform. This senior role combines large-scale production machine learning, experimentation, causal modeling, and fairness-aware ranking.

Own and build a reliable, compliant messaging platform powering email, SMS, push, and in-app communications for a trust-first local home services marketplace. You’ll lead platform architecture across consent, deliverability, experimentation, and large-scale message delivery.

Build and scale NewsBreak’s advertising platform backend, spanning real-time bidding, advertiser tools, external exchange integrations, and revenue-critical systems. This senior role offers high ownership over low-latency, high-QPS services that directly drive advertising revenue.

Build NewsBreak’s foundational agent platform, powering production AI products used by millions of people. You’ll own the agent runtime, evaluation and observability systems, context engineering, model integration, and internal tools end to end.

Hands-on AI growth role combining technical execution with business ownership across acquisition, activation, monetization, and go-to-market strategy. The role builds growth mechanisms, analyzes experiments, manages budgets, and communicates recommendations to senior stakeholders.

Lead the architecture and evolution of NewsBreak’s large-scale recommendation and AI platform systems. You’ll drive production machine learning, LLM applications, and 0-to-1 AI initiatives while providing technical leadership across teams.