546 open positions
Software Engineer, Search Ads in AI Experiences↗
GoogleMountain View, CA, US
$123k–$123k18d
Design, test, deploy, and maintain software solutions for reinventing Search Ads for the AI era, focusing on real-time offer verification, commercial fact-checking, and multi-modal ad rendering.
Software Development Engineer, Personalization, Amazon Personalization
AmazonSeattle, Washington, United States
$144k–$194k18d
Building systems at the intersection of AI, real-time data, and customer personalization at Amazon scale, leveraging large language models to extract structured knowledge and serve it in real time.
Software Development Engineer, Personalization, Amazon Personalization
AmazonSeattle, Washington, United States
$144k–$194k18d
Build systems at the intersection of AI, real-time data, and customer personalization at Amazon scale, leveraging large language models to extract structured knowledge and serve it in real time.
Sr. Applied Scientist, Sponsored Products Off-Search Sourcing
AmazonSeattle, Washington, United States
18d
Designing and developing Generative AI, deep learning, and reinforcement learning solutions to transform ad retrieval, auctions, and whole-page relevance for personalized shopping experiences.
Principal Applied Scientist, Prime Video Personalization & Discovery , PV Personalization & Discovery, Principal Applied Scientist, PVPD
AmazonSeattle, Washington, United States
$229k–$229k19d
Invent, develop, and deploy groundbreaking AI solutions for personalized, relevant, and delightful experiences for millions of global customers on Prime Video.
Applied Scientist, CMT
AmazonBengaluru, Karnataka, India
19d
Design and optimize machine learning models, large language models, and recommender systems to solve complex technical challenges in competitive monitoring and improve customer experience at a worldwide scale.
Applied Scientist II, CMT
AmazonBengaluru, Karnataka, India
19d
Lead the evolution of Competitive Monitoring systems using machine learning, large language models, and recommender systems to improve customer experience at a worldwide scale.
Applied Scientist III, Sponsored Products and Brands - Advertiser Growth - Cross-border Seller Experience (CBSX)
AmazonSeattle, Washington, United States
$167k–$167k22d
Build agentic and ML systems that autonomously create, structure, and manage ad campaigns for cross-border advertisers on Amazon, removing barriers to growth and simplifying the advertising lifecycle.
Applied Science Manager, Amazon Digital Advertising↗
AmazonSeattle, WA, US
$184k–$184k22d
Lead a team of scientists to measure the real-world impact of Amazon's marketing at billion-dollar scale, turning petabytes of retail and customer signals into causal insights to optimize ad spend and inform external advertiser tools.
Software Development Engineer , Adaptive Search Relevance
AmazonSeattle, Washington, United States
$144k–$194k23d
Build a multi-agent orchestration platform that autonomously executes ML research workflows from hypothesis generation to production deployment for Amazon's Sponsored Products Search Relevance.
Software Development Engineer , Adaptive Search Relevance
AmazonSeattle, Washington, United States
$144k–$144k23d
Build a multi-agent orchestration platform that autonomously executes ML research workflows to accelerate the delivery of relevant sponsored products to Amazon shoppers.
Senior Applied Scientist, Sponsored Products and Brands
AmazonNew York, New York, United States
$184k–$249k24d
Improving the quality of agentic solutions and their impact within the ads delivery stack using generative AI and LLMs.
Applied Scientist, Customer360
AmazonSeattle, Washington, United States
$143k–$193k24d
Build real-time contextual intelligence systems using LLMs and semantic retrieval to personalize Amazon customer experiences.
Sr. Applied Scientist, Sponsored Products Off-Search Sourcing↗
AmazonPalo Alto, CA, US
24d
Designing and developing Generative AI, deep learning, multi-objective optimization, and reinforcement learning solutions to transform ad retrieval, auctions, and whole-page relevance for personalized shopping experiences.
Software Engineer, Cross Border Science and Analytics
AmazonBengaluru, Karnataka, India
24d
Build and deploy ML-powered systems for cross-border product discovery, selection optimization, compliance automation, and demand forecasting across 20+ international marketplaces.
Applied Scientist, Prime Video Commerce Insights
AmazonLondon, England, United Kingdom
24d
Develop and deploy customer-facing ML models to personalize commerce decisions (subscriptions, channels, transactions) across Prime Video, serving hundreds of millions of customers.
Applied Scientist , Sponsored Products
AmazonNew York, New York, United States
$172k–$223k24d
Define and lead science initiatives from problem framing through production deployment for video advertising experiences, bridging human creativity with generative AI to transform the advertising lifecycle.
Senior Applied Science Manager, Alexa for Shopping (Rufus)
AmazonPalo Alto, California, United States
$219k–$219k25d
Managing a team to build and align Large Language Models (LLM) and Vision-Language Models (VLM) for Amazon's AI-powered shopping assistant, ensuring personalized and proactive customer experiences.
Senior Software Development Engineer, Customer 360
AmazonSeattle, Washington, United States
$168k–$227k25d
Develop a unified customer personalization service leveraging advanced AI and machine learning to deliver real-time, personalized experiences across Amazon's diverse businesses.
Software Development Engineer - GenAI/ML, Amazon Selection and Catalog Systems (ASCS)
AmazonSeattle, Washington, United States
$144k–$194k25d
Design and implement distributed systems using LLMs and multi-modal ML models to classify products into Amazon's catalog, mining unstructured data (images, text) to drive product understanding for browsing and searching.
Applied Scientist II, Prime Video Personalization and Discovery Science, Prime Video - Personalization and Discovery Science
AmazonSunnyvale, California, United States
$143k–$143k26d
Develop foundation models for content understanding and time sequence models to predict customer behavior patterns and viewing trajectories for Prime Video personalization and discovery.
Applied Scientist, Amazon Customer Service
AmazonSeattle, Washington, United States
$143k–$193k26d
Design and develop scalable AI-powered technology solutions using GenAI, ML, and NLP to transform complex business requirements into innovative customer service solutions.
Sr. Machine Learning Engineer, Sponsored Products and Brands↗
AmazonSeattle, WA, US
$168k–$227k26d
Architecting scalable GenAI systems and multi-task recommendation engines to reimagine Amazon's advertising stack for global advertisers.
AI/ML Engineer, Hiring Intelligence, Science & Experimentation (HIRISE)
AmazonArlington, Virginia, United States
$168k–$227k26d
Building state-of-the-art AI systems, machine learning algorithms, and advanced software tools to reinvent the hiring process and deliver scale, sophistication, and accuracy for Amazon Talent Acquisition operations.
Senior Applied Scientist, CBA
AmazonSeattle, Washington, United States
$167k–$226k26d
Developing transformer-based foundation models of customer behavior to estimate causal effects of customer actions on long-term value for Amazon's Retail business.
Sr. Applied Scientist, Prime Video - Personalization and Discovery Science, Prime Video - Personalization and Discovery Science
AmazonSunnyvale, California, United States
$167k–$167k26d
Building and guiding machine learning models from the ground up to power recommendation and personalization experiences for Prime Video customers.
Applied Scientist II, International Machine Learning
AmazonBengaluru, Karnataka, India
1mo
Build and deploy advanced machine learning systems to optimize millions of daily transactions, analyze terabytes of data, and solve real-world business problems for Amazon's India Consumer Businesses.
Applied Scientist, PXT Central Science
AmazonArlington, Virginia, United States
$143k–$143k1mo
Design, develop, and deploy large-scale machine learning systems to solve complex business problems, specifically personalizing manager on-boarding and development experiences.
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