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Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Staff Machine Learning Engineer, Ads Conversion Core Modeling”. A match may be a passing mention rather than the job itself. Titles only.
22 roles across 23 listings · show every listing
…AI, machine learning, and/or deep learning. Hands-on experience building applications on foundation models (RAG pipelines, agent frameworks, prompt engineering, model evaluation, fine…
…We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity…
…Staff Machine Learning Infrastructure Engineer , you will own the technical direction for large-scale machine learning platform, guiding the development of advanced deep learning…
…skilled and motivated Machine Learning Engineer to join our Predictions group. We build the core machine learning models that power ad predictions and monetization…
…Staff Machine Learning Engineer, Feed Relevance , you'll drive the development of GenAI-powered recommendations, leveraging Reddit’s unique community landscape, rich conversational data…
…strong modeling expertise, good software engineering skills and a desire to get things done. Masters or PhD in Computer Science, Machine Learning Engineering or…
…Strong understanding of modern model-driven systems and experience partnering closely with machine learning engineers on AI-powered products. Strong leadership, communication, and cross…
…Build out core infrastructure services and microservices that impact our machine learning, frontend, and platform teams. Build out core infrastructure for various functionalities such…
…Engineer to join our hardware team and drive the SI/PI analysis and optimization of advanced packaging solutions for next-generation machine learning and…
…AI, machine learning, and/or deep learning. Hands-on experience building applications on foundation models (RAG pipelines, agent frameworks, prompt engineering, model evaluation, fine…
…AI, machine learning, and/or deep learning. Hands-on experience building applications on foundation models (RAG pipelines, agent frameworks, prompt engineering, model evaluation, fine…
…We have thousands of engineers at Amazon committed to machine learning and deep learning, and it’s a big part of our heritage. AWS…
…Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness…
…Successful machine learning engineers on the team are motivated to design and maintain high-performing compound AI systems, with model training as one tool…
…with Machine Learning Engineers and Research Scientists to develop conversational AI systems that generate static and video advertisements, while partnering across Launch, CORE, Canva…
…forecasting, machine learning, or advanced statistical methods in business settings Experience with Tableau or similar BI tools Familiarity with Salesforce and other core GTM…
…Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our…
…Work closely with cross-functional partners, including Product, Design, Sales, and machine learning engineers and scientists where relevant. Help build a seamless customer experience…
…run structured discovery with ML engineers and data scientists, prioritize platform investments across training, deployment, observability, and model registry, and drive adoption so usage…
…based world models. - Build decision-making frameworks using behavior trees, hierarchical state machines, or similar AI architectures. - Partner with Core, World Model, Apps, and…
…Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing…
…Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing…