About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to
As a Principal Applied Scientist for Full-Funnel Campaign optimization, you will invent the models that jointly allocate budget across sponsored ad products to maximize advertiser outcomes and long-term customer value. This is a rare charter to build foundational
Amazons Pricing Science is seeking a driven Applied Scientist to harness planet scale multi-modal datasets and generate customer-relevant prices on billions of Amazon products worldwide. We are looking for talented applied researchers to join our Pricing Optimization science group,
Description Global Optimization is a strategic initiative aimed at improving Amazon advertisers experience at global scale. We are looking for a passionate Applied Scientist to help pioneer the next generation of agentic AI applications for Amazon advertisers. In
Amazon in Palo Alto is seeking a Principal Applied Scientist for Full-Funnel Campaign optimization to invent models that jointly allocate budgets across sponsored ad products and maximize advertiser outcomes and long-term value. You will set technical direction for
A leading technology company is seeking a Senior Applied Scientist for its ML/AI team in Seattle, United States. The role involves partnering with engineers and managers to develop advanced optimization solutions and insights using machine learning. Candidates should
Amazon is seeking a Principal Applied Scientist for Full-Funnel Campaign optimization to invent models that allocate budget across sponsored ad products to maximize advertiser outcomes and long-term customer value. This rare charter builds foundational optimization science and spans campaign
Amazon Science is seeking an Applied Scientist to tackle challenging traffic engineering problems at planetary scale. You will develop novel optimization algorithms and ML models balancing network utilization, resilience, cost efficiency, and latency across diverse traffic classes. You
Applied Scientist - Optimization, Amazon Transportation Job ID: 10493044 | Amazon.com Services LLC Amazons Middle Mile Surface Research Science seeks an Applied Scientist to invent and build optimization models and algorithm to improve how Amazon plans and operates its transportation
Applied Scientist, AWS Insights & Optimization AWS Insights & Optimization is looking for an Applied Scientist to help develop sophisticated algorithms and models that involve analyzing and learning from over 540 billion customer cost, usage, and utilization events daily. We
Amazon Web Services, Inc. in Seattle, WA is seeking an Applied Scientist to develop and deploy sophisticated models that analyze trillions of events daily for cost optimization and intelligent AWS spend insights. You will own models end-to-end—from problem
Amazon Development Center U.S., Inc. is seeking a Senior Applied Scientist to design and deploy state-of-the-art ML models powering supply chain applications at global scale. You will work at the nexus of research and product impact, translating
Description As a Principal Applied Scientist for Full-Funnel Campaign optimization, you will invent the models that jointly allocate budget across sponsored ad products to maximize advertiser outcomes and long-term customer value. This is a rare charter to build
Amazon Web Services, Inc. in Seattle is seeking an Applied Scientist for AWS Insights & Optimization to develop sophisticated algorithms that analyze and learn from hundreds of billions of customer cost, usage, and utilization events daily. You will
Description AWS Insights & Optimization is looking for an Applied Scientist to help develop sophisticated algorithms and models that involve analyzing and learning from over 540 billion customer cost, usage, and utilization events daily. We use this data
Amazons Inter Data Center Networking team seeks an Senior Applied Scientist to tackle challenging traffic engineering problems at planetary scale. You will develop ML models and optimization algorithms balancing utilization, resilience, cost, and latency across diverse traffic classes.
Amazon Transportation is seeking an Applied Scientist to invent and build machine learning models that improve how Amazon plans and operates its transportation network in the United States. You will develop transit time prediction and uncertainty models
Nebius is seeking a Senior Applied Scientist to turn frontier inference bottlenecks into production-ready solutions. You will design rigorous experiments, write high-quality code in Python and PyTorch, and collaborate with ML engineers to ship research into production.
As a Principal Applied Scientist for Full-Funnel Campaign optimization, you will invent the models that jointly allocate budget across sponsored ad products to maximize advertiser outcomes and long-term customer value. This is a rare charter to build foundational
Amazons Product Detail Page team is seeking an Applied Scientist to design and develop scalable algorithms for the Detail Page, Search Page and related widgets to improve customer experience. You will work with cross-functional teams of scientists,