Product Manage r to drive the next generation of their digital product suite which covers AI led products - LLM, Agentic AI, recommendersystems and more. This is a pivotal role working directly with senior leadership to shape product vision and deliver impactful solutions across a portfolio of More ❯
Product Manage r to drive the next generation of their digital product suite which covers AI led products - LLM, Agentic AI, recommendersystems and more. This is a pivotal role working directly with senior leadership to shape product vision and deliver impactful solutions across a portfolio of More ❯
Senior Data Scientist, MAPLE - RecommenderSystem Are you excited by the idea of developing personalized experiences for Amazon customers as they shop? Are you looking for new challenges and to solve hard science problems while applying state-of-the-art recommendation system modeling techniques? Join us and you … using AWS QuickSight, Tableau, R Shiny, etc. experience. Experience managing data pipelines. Experience as a leader and mentor on a data science team. RecommenderSystem experience. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace More ❯
developing standardized, efficient ML solutions in critical domains like parameter-efficient tuning, multimodal modeling, media generation, LLMs, and recommender systems. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search More ❯
developing standardized, efficient ML solutions in critical domains like parameter-efficient tuning, multimodal modeling, media generation, LLMs, and recommender systems. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search More ❯
Scientist with a machine learning background to help us improve personalization experiences by integrating state-of-the-art generative AI technologies into our recommender systems. You will join a team of machine learning researchers whose focus is on innovating the Spotify experience through researching and developing ML technologies … at conferences or journals such as NeurIPS, ICML, ICLR, KDD or related. A solid understanding of machine learning and past research experience on recommender systems. Solid hands-on skills in implementing advanced ML algorithms, as well as sourcing, cleaning, analyzing and modeling of large-scale real data. You More ❯
engagement and retention through intelligent, personalised notifications. Leveraging machine learning models and tooling you will oversee the development and implementation of a sophisticated recommendersystem determining which notifications to send to which users, thereby significantly boosting app retention. What you'll do Lead Notification Strategy: Drive the strategy … execution to ensure timely delivery of initiatives, overcoming obstacles and ensuring team alignment. Outcome 1: Increase user retention Ship an ML-powered notification recommender that delivers personalised, timely, insightful messages. Work cross functionally with DS and Engineering to ensure the recommender can scale and have an More ❯