Senior Applied Scientist, GenAI Ads & Campaigns

Socket.dev; Seattle (WA); On-site; USD 167,000 - 226,000; Full time

Job summary

Amazon Ads is seeking a Senior Applied Scientist to build intelligent, autonomous advertising solutions for cross-border sellers and global brands across marketplaces.

You will own medium-to-large, ambiguous problems, invent new methods, validate them with rigorous experiments, and deliver production-grade systems.

This role blends deep science with product focus, mentoring scientists, and hands-on engineering on large-scale data pipelines and online serving.

Qualifications

• 5+ years of building machine learning models for business application experience.
• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

Responsibilities

• Understand the pain points of Cross border advertisers as they scale across marketplaces, and build science-driven solutions that remove barriers and accelerate their growth and success.
• Build agentic and ML systems that autonomously create, structure, and manage ad campaigns on advertisers' behalf, encoding auction and marketplace dynamics while balancing advertiser ROI, shopper experience, and marketplace health.
• Innovate on new, simpler ways to advertise powered by GenAI, and push the frontier of existing autonomous programs while proposing and prototyping the next generation of campaign automation.
• Develop models across the campaign lifecycle — opportunity discovery, ranking, ad-readiness and demand prediction, and bid/budget optimization.
• Define and curate the datasets and signals needed to train and evaluate these systems — advertiser and campaign data, cross-marketplace performance, auction and bid/budget signals, impressions, clicks, conversions, and search-term/keyword performance.
• Own core parts of the agentic architecture — planning, tool use and integration, reasoning frameworks, and model customization — and define evaluation and safety methodology so that automated decisions are reliable and trustworthy.
• Stay deeply hands-on: write production-quality, critical-path code and build core components that take systems from prototype to launch on large-scale pipelines and online serving.
• Raise the science bar: mentor scientists and engineers, review designs and experiment plans, and communicate results and tradeoffs clearly to technical and business leaders.

Skills

Machine learning

Java

C++

Python

Deep learning

Education

PhD

Master's degree + 6+ years applied research

Tools

Spark

Hadoop

TensorFlow

PyTorch

Job description

Amazon Ads is seeking a Senior Applied Scientist to build intelligent, autonomous advertising solutions for cross-border sellers and global brands across marketplaces.

You will own medium-to-large, ambiguous problems, invent new methods, validate them with rigorous experiments, and deliver production-grade systems.

This role blends deep science with product focus, mentoring scientists, and hands-on engineering on large-scale data pipelines and online serving.