✦ Luna Orbit — AI & Machine Learning

AI/Data Science Graduate Intern

at First American Financial

📍 USA, California, Santa Ana Onsite 💰 $24 – $28 USD / year Posted March 29, 2026
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Position Details

Salary $24 – $28 USD / year
Type Not Specified
Experience mid
Exp. Years 4+ 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

Amazon is seeking an Applied Scientist II to research and develop generative AI technology for AWS Connect, including agentic AI evaluation and optimization. The role emphasizes prototyping and deploying ML models using PyTorch/TensorFlow and AWS SageMaker.

Key Responsibilities

  • Develop and evaluate ML models for AI-enabled Connect features
  • Prototype and deploy models at scale
  • Collaborate with product and research teams
  • Improve agentic AI performance and reduce hallucinations
  • Maintain production-grade ML code and documentation

Technical Overview

Strong ML/NLP focus with production deployment experience; stack includes PyTorch/TensorFlow, AWS SageMaker, and programming in Python/Java/C++. Unix/Linux experience preferred; candidate should handle large data and HPC considerations.

Ideal Candidate

The ideal candidate is an applied scientist with 4+ years of ML/CS experience, strong NLP and generative AI experience, and proficiency in PyTorch/TensorFlow. They should be capable of building and deploying ML models in production using AWS SageMaker in a Mountain View on-site setting.

Must-Have Skills

PhD or Master's degree with 4+ years in CS/CE/MLexperience building ML models or algorithmsexperience in patents or publicationsprogramming in JavaC++Pythonexperience in algorithmsdata structuresdata miningparallel and distributed computing

Nice-to-Have Skills

Unix/Linuxprofessional software development

Tools & Platforms

PyTorchTensorFlowAWS SageMakerPythonJavaC++Unix/LinuxGit

Required Skills

machine learningdeep learningnatural language processinggenerative AIllmagentic aipytorchtensorflowpythonjavac++unix/linuxalgorithmsdata mininghigh-performance computingsoftware development

Hard Skills

PhD or Master's + 4+ years experiencemachine learningdeep learningnatural language processinggenerative AILLMPyTorchTensorFlowAWS SageMakerJavaC++PythonUnix/Linuxalgorithmsdata mininghigh-performance computingsoftware development

Soft Skills

communicationteamworkproblem solvingattention to detailcuriosity

Industry & Role

Industry Financial Services
Job Function Research, prototype, and deploy generative AI/ML solutions for Amazon Connect.
Role Subtype ML Engineer
Tech Domains Python, Java, C++, PyTorch, TensorFlow, Amazon Web Services, Unix/Linux, Machine Learning, Natural Language Processing, High-Performance Computing

Keywords for Your Resume

applied scientist iiamazon connectawsamazon web servicesmachine learningmlnlpgenerative aillmagentic aipytorchtensorflowpythonjavac++unix/linuxsagemakermountain viewonsitephdmastersaws sagemaker

Deal Breakers

must have 4+ years of ML/CS experience, must have proficiency in PyTorch/TensorFlow, must be proficient in Python, Java, or C++

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