✦ Luna Orbit — AI & Machine Learning

Applied Scientist III - AMZ9674037

at Amazon.com

📍 US, WA, Seattle Onsite 💰 $167K – $167K USD / year Posted April 03, 2026
Salary $167K – $167K USD / year
Type Full-Time
Experience senior
Exp. Years 2+ years
Education Master's degree or foreign equivalent degree in Computer Science, Machine Learning, Engineering, or a related field; or Bachelor's degree with five years of progressive post-baccalaureate experience
Category AI & Machine Learning

Applied Scientist III designs, develops, evaluates, and deploys data-driven ML/NLP models and solutions, leveraging statistical modeling and modern ML techniques to drive business and engineering outcomes, with mentorship responsibilities.

  • Participate in design, development, evaluation, deployment of ML/NLP models
  • Develop and apply statistical and ML techniques to business/engineering problems
  • Mentor junior engineers
  • Run experiments in production environments
  • Identify opportunities for research to meet business goals

Focus on ML/NLP model development, production deployment, and experimentation in a production environment; strong programming in Java, C++, Python; expertise in Bayesian and deep neural networks; Seattle location.

Senior ML Engineer with a strong foundation in ML/NLP, experience delivering production ML models, and mentoring capabilities; proficient in Python, Java, and C++ with a track record of research and applying Bayesian and deep learning techniques.

Master's degree or foreign equivalent in Computer ScienceMLEngineeringor related field with 2 years of related experienceBachelor's degree with 5 years of progressive post-baccalaureate experience as equivalentOne year of experience programming in JavaC++PythonExperience developing supervised and unsupervised ML models
Experience with production ML systemsExperience mentoring junior engineersExperience in NLP or NL applicationsCloud platform experience (AWSAzureGCP)
JavaC++Python
JavaC++PythonMachine LearningNatural Language ProcessingDeep Neural NetworksBayesian modelsStatistical modelingProduction deploymentExperimentation
JavaC++PythonMachine LearningNatural Language ProcessingDeep Neural NetworksBayesian modelsStatistical modelingExperimentationProduction deployment
MentoringLeadershipCommunicationCollaboration
Industry Cloud & Infrastructure
Job Function Research, develop, and deploy ML/NLP models at scale while mentoring team members
Role Subtype ML Engineer
Tech Domains Amazon Web Services, Python, Java, C++, Machine Learning, Natural Language Processing
Applied Scientist IIIMachine LearningNatural LanguageBayesian modelsdeep neural networksstatistical modelingproduction environmentPythonJavaC++data-driven modelssupervised learningunsupervised learningresearchmentoringSeattleAmazon Web ServicesNatural Language ProcessingDeep Neural NetworksStatistical modelingProduction environment

Lack of experience with ML in production, Inability to work in Seattle on-site, Insufficient programming experience (Java, C++, Python)

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