Browse 12 exciting jobs hiring in Ranking now. Check out companies hiring such as Spotify, Noise Labs, Quizlet in Durham, Peoria, Norfolk.
Lead the design and delivery of production personalization, ranking, and multi-objective optimization systems that improve listener experience across Spotify's platforms.
Lead backend engineering for core product services—feeds, ranking, realtime, and financial systems—at a small, product-focused startup that values ownership and strong engineering judgment.
Lead the design and production of recommender and personalization systems at Quizlet, applying large-scale retrieval, embedding, and ranking techniques to improve learner engagement and mastery.
Lead the design and delivery of scalable ML systems for recommendations, ranking, personalization, and LLM-based features at Bumble, driving measurable user outcomes and mentoring engineering teams.
At Handshake, you will build and operate ML models—especially graph- and embedding-based approaches—that improve relevance and discovery for students and employers across a global platform.
LinkedIn seeks a Hybrid Machine Learning Engineer to build and deploy scalable relevance and evaluation models for recommender systems and generative/NLP-driven product features.
Lead the product strategy and execution for Bumble’s Matching & Recommendations, shaping machine-learning-driven discovery and personalization across the platform.
Lead the developer-facing search product at Firecrawl by converting research improvements into production search APIs, docs, and examples that delight developers.
Lead the design and scaling of Bumble’s matching, recommendation, and agentic AI systems to deliver low-latency, ML-powered experiences across the product.
Help scale Creatify’s production ML stack and build state-of-the-art models for recommendation, ranking, and generative video ad workflows as a Machine Learning Engineer on our Mountain View team.
Lead LinkedIn’s Ads AI engineering team to architect and deliver LLM-driven recommendation and ad-ranking systems that measurably improve advertiser outcomes.
Staff Applied AI Engineer to lead development of personalization, ranking, and LLM-powered features that improve learner engagement and outcomes at Quizlet.
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