Position Details

Type Full-Time

Experience senior

Exp. Years 3+ years

Education PhD, or Master's degree

Category AI & Machine Learning

About this role

Sr. Applied Scientist building AI infrastructure for ads, researching agent-data interaction, RAG embeddings, and MCP server infrastructure, balancing research and production.

Key Responsibilities

Agent orchestration & optimization research
Large Language Model context & token optimization
RAG-based embeddings & semantic search
Experimentation & productionization
Cross-functional collaboration & thought leadership
Research publication & innovation

Technical Overview

Research and productionize ML approaches for agent-data interaction, including MCP servers, CodeAct, RAG embeddings, and LLM optimization for real-time advertiser data.

Ideal Candidate

The ideal candidate is a senior applied scientist with 3+ years of ML experience, strong in multi-language programming (Java/C++/Python), expert in RAG embeddings and real-time data, and capable of productionizing research with ML-enabled advertising agents.

Must-Have Skills

3+ years building machine learning models for business application experiencePhDor Master's degree and 6+ years of applied research experienceExperience programming in JavaC++PythonExperience with neural deep learning methods and machine learning

Nice-to-Have Skills

Experience with modeling tools such as Rscikit-learnSpark MLLibMxNetTensorflownumpyscipyExperience with large scale distributed systems such as HadoopSpark

Tools & Platforms

JavaC++PythonRCodeActModel Context ProtocolMCP serversCodeAct patternsTensorFlowSparkHadoopMxNetscikit-learnNumpySciPy

Required Skills

3+ years building ML models for business; JavaC++Python; neural deep learning; CodeAct; RAG-based embeddings; Model Context Protocol; MCP servers; large language models

Hard Skills

JavaC++Pythonneural deep learning methodsRAG-based embeddingsCodeActModel Context ProtocolMCP serverslarge language modelsCodeAct patternssemantic searchreal-time data deliveryadvertiser dataproductionization

Soft Skills

collaborationmentoringcommunicationleadershipproblem-solving

Industry & Role

Industry SaaS

Job Function Research and develop novel ML approaches for agent-data interaction and productionize innovations at Amazon.

Role Subtype AI Research Scientist

Tech Domains Python, Java, C++, TensorFlow, Spark, Hadoop, Model Context Protocol, MCP servers, CodeAct, RAG-based embeddings, large language models, scikit-learn, MxNet, Numpy, SciPy

Keywords for Your Resume

Sr. Applied ScientistAds AI Core InfrastructureCodeActRAG-based embeddingsModel Context ProtocolMCP serverslarge language modelsagent orchestrationcontext optimizationsemantic searchreal-time advertiser dataproductionizationadvertiser dataCodeAct patternsTensorFlowSparkHadoopPythonJavaC++neural deep learning

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Sr. Applied Scientist, Ads AI Core Infrastructure

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