Amazon
Senior Applied Scientist
$167K–$249K
Seattle, WA +1 · Senior · Full-time · Posted Oct 2, 2026
- Location
- Seattle, WA
Newark, NJ - Experience
- PhD plus 5+ years of research experience, or a Master’s degree plus 10+ years of research experience; 5+ years in Deep Learning, Natural Language Processing/Understanding, GenAI and/or Reinforcement Learning. Preferred: 3+ years building machine-learning models or algorithms for business applications.
- Education
- PhD or Master’s degree in Machine Learning, Computer Science, Computer Engineering, Data Science, Applied Math, or a related quantitative field.
About the job
Leads research and production deployment of scalable applied-science solutions for Audible, including content understanding, recommendations, and GenAI product features.
What you'll do
- Design, build, and deploy end-to-end scientific models and solutions for ambiguous business and customer problems.
- Collaborate with scientists, engineers, and product teams; review peers’ models and define system-level requirements.
- Lead the team’s scientific agenda, publish peer-reviewed research, and mentor scientists.
What they ask for
- Experience with Data & AI technologies, such as AI/ML, GenAI, analytics, databases, or storage.
- Experience developing and deploying LLMs in production on AI acceleration hardware, or experience in machine learning, data mining, information retrieval, statistics, or NLP.
- PhD plus 5+ years of research experience, or a Master’s degree plus 10+ years of research experience in a listed quantitative discipline or related field.
- 5+ years of experience in deep learning, NLP/NLU, GenAI, and/or reinforcement learning; experience with Python, SQL, scripting languages, and production science solutions.
Nice to have
- 3+ years building machine-learning models or algorithms for business applications; publications at top-tier peer-reviewed venues.
- Experience with recommendation or content-understanding systems, online experimentation, AWS ML pipeline orchestration, compiled languages, or mentoring and science reviews.
Pay
USD 183,800.00 - 248,700.00 annually (base salary); USD 167,100.00 - 226,100.00 annually (base salary)
Tools
LLMs, GPUs, Neuron, TPU, Python, SQL, AWS, SageMaker
AI focus
Applied ML, NLP, deep learning, GenAI, reinforcement learning, recommendations, and content understanding; invents and deploys models and AI-powered product features.
Model-written summary · the original posting is authoritative