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About NewsBreak Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local…
Build and refine Reddit’s advertiser-facing tools for creative and campaign management using React, TypeScript, and modern frontend practices.
Senior frontend engineer on Reddit's Ads Creative & Recommendations team, owning the technical design and delivery of advertiser-facing features in Ads Manager (creative and recommendation workflows). Core stack is JavaScript, TypeScript, and React, working alongside product, design, data science, and ML.
Senior engineer building scalable backend systems and data pipelines for Roku's global TV streaming platform, using Java, Kafka, and cloud technologies to power content ingestion and recommendations.
Senior Product Manager to define and drive Roku's recommendation strategy, experiments, and outcomes across 100+ surfaces, leveraging ML/AI to optimize user engagement and monetization for streaming content.
Lead ML systems for Roku’s AI-powered entertainment assistant, building ranking, personalization, and conversational discovery using LLMs, reinforcement learning, and multi-objective optimization.
Build and scale ML infrastructure for Roku’s recommendation engine, including feature stores, inference services, and vector databases to serve millions of users.
Our Mission As humans, there are few things more exciting than meeting someone new. At Tinder, we’re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of…
Role Overview The AI/ML Specialist will play a pivotal role in designing and implementing advanced AI solutions that address complex business challenges. Collaborating with cross-functional teams, this role will…
About the company: We have partnered with a renowned global leader in information and communications technology (ICT) infrastructure and smart devices. They are providing full-stack, all-scenario solution for products…
Owns AI product strategy and execution for an e-commerce supplier, shipping search, personalization, and agentic tools while partnering with ML engineers to turn models into production features.
PhD data science internship in Microsoft's Commerce, Content, and Monetization organization (Redmond, WA). The intern owns a scoped project end-to-end — metrics, analysis, validation, recommendations — using SQL, Python/R, machine learning, causal inference, and LLM-based AI to improve content discovery, recommendations, search, and advertising measurement at massive scale.
Build and improve large-scale machine learning systems to personalize Pinterest’s recommendation feeds, ads, and search using deep learning and big data tools.
Build and improve large-scale machine learning systems to personalize Pinterest’s recommendation, search, and ads features using deep learning and big data technologies.
Senior Machine Learning Engineer at Pinterest building personalized recommendation systems using deep learning and large-scale data pipelines to enhance user experiences across Homefeed, Ads, and Search.
Leads high-impact, cross-functional programs in Pinterest's Ads & Monetization org, using technical depth and AI tools to scale advertising systems and influence company-wide strategy.
Lead a team of ML researchers and engineers to build next-gen recommendation systems at Pinterest, turning cutting-edge research into production-scale solutions that drive core business metrics.
Lead company-level programs shaping Pinterest’s search and personalization strategy, integrating AI/ML models and offsite signals to drive relevance and shopping experiences.
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