Position Details

Type Full-Time

Experience mid

Exp. Years 3+ years

Education PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience

Category AI & Machine Learning

About this role

Applied Scientist II on the Sponsored Products Marketplace Intelligence team, responsible for building production ML models to personalize ad allocation and ranking on the search results page.

Key Responsibilities

Tackle challenging science and business problems
Develop real-time ML algorithms to allocate billions of ads per day
Design multi-objective optimization and AI control methods
End-to-end ML project delivery
Run A/B experiments and statistical analysis

Technical Overview

Hands-on ML and optimization in production, with emphasis on bandit learning, online experimentation, and LLM/GenAI integration for ad ranking. Proficient in Java/C++/Python with distributed computing experience.

Ideal Candidate

The ideal candidate is a mid-level ML engineer with 3+ years building models for ads and search ranking, strong experience with bandit/online experimentation, and production ML experience using Java/C++/Python in a large tech environment.

Must-Have Skills

3+ years of building models for business application experiencePhDor Master's degree and 4+ years of CSCEML or related field experienceExperience programming in JavaC++Python or related languageExperience in any of the following areas: algorithms and data structuresparsingnumerical optimizationdata miningparallel and distributed computinghigh-performance computing

Nice-to-Have Skills

Experience using Unix/LinuxExperience in professional software development

Tools & Platforms

JavaC++PythonUnix/Linux

Required Skills

machine learningdeep learningJavaC++Pythonalgorithms and data structuresparsingnumerical optimizationdata miningparallel and distributed computinghigh-performance computingUnix/Linuxprofessional software development

Hard Skills

JavaC++Pythonalgorithmsdata structuresnumerical optimizationdata miningparallel and distributed computinghigh-performance computingUnix/Linuxprofessional software development

Soft Skills

product focusstakeholder managementcommunicationcollaborationleadership

Industry & Role

Industry E-commerce

Job Function Develop production ML models for ad ranking and whole-page optimization in a high-traffic ad marketplace

Role Subtype ML Engineer

Tech Domains Python, Java, C++, Linux, SQL / PostgreSQL

Keywords for Your Resume

Applied Scientist IIMarketplace Intelligencebanditonline experimentationcausal inferenceoptimizationproduction MLLLMsGenAISearch Ad Rankinginterleavingdata miningalgorithmsdata structuresparallel and distributed computingUnix/Linuxprofessional software developmentadvertisingSeattlemachine learningC++JavaPythonA/B testing

Deal Breakers

Lack of 3+ years model-building experience, No experience with production ML or online experimentation, Unwillingness to work onsite in Seattle

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Applied Scientist II, Sponsored Products Marketplace Intelligence

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