Amazon
Sr. Applied Scientist, Selling Partner Communities (SPC)
$167K–$226K
Seattle, WA · Senior · Full-time · Posted Apr 10, 2026
- Experience
- 3+ years building machine learning models for business applications; PhD, or Master's degree and 6+ years of applied research experience.
- Education
- PhD, or Master's degree.
About the job
Develop and implement scalable AI and machine learning solutions that improve selling partner experiences, including content discovery, seller sentiment measurement, and community operations.
What you'll do
- Collect and analyze data, then design, develop, and deliver scalable models.
- Collaborate across science, engineering, product, and business teams to define requirements and build data and modeling pipelines.
- Research LLMs, RL, and agent-based AI and translate findings into practical applications.
What they ask for
- 3+ years of experience building machine learning models for business applications.
- PhD, or a Master's degree and 6+ years of applied research experience.
- Programming experience in Java, C++, Python, or a related language.
- Experience with neural deep learning methods and machine learning.
Nice to have
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, or scipy, and large-scale distributed systems such as Hadoop or Spark.
- Experience in speech recognition, machine translation, or natural language processing; generative AI tools; or integrating AI into products and services.
Pay
USD 167,100.00 - 226,100.00 annually (base salary)
Tools
Java, C++, Python, R, scikit-learn, Spark MLLib, Tensorflow, Hadoop
AI focus
Apply AI and machine learning to improve seller experiences, measure sentiment, improve content discovery and engagement, support community operations, and create tools for content generation and validation. The role also tracks LLMs, RL, and agent-based AI.
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