Amazon
Senior Applied Scientist, Selling Partner Support Engagement
$167K–$226K
Seattle, WA · Senior · Full-time · Posted Jun 8, 2026
- Experience
- 7+ years of applied research experience; 5+ years building machine learning models for business applications. For the degree requirement: PhD, or Master's degree and 5+ years of applied research experience.
- Education
- PhD, or Master's degree and 5+ years of applied research experience.
About the job
Owns research and production development of reinforcement-learning agent systems that improve Amazon seller support interactions.
What you'll do
- Develop RL-based agent improvement systems from problem formulation through deployment and impact measurement.
- Design preference-learning, reward-modeling, policy-optimization, and evaluation approaches for conversational agents.
- Partner with engineering and product teams to deploy models, publish research, and mentor scientists.
What they ask for
- 7+ years of applied research experience.
- 5+ years of experience building machine learning models for business applications.
- PhD, or Master's degree and 5+ 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 MxLib, MxNet, Tensorflow, numpy, or scipy.
- Experience building and scaling agentic system components such as memory, retrieval, reasoning, and tool calling.
Pay
167,100.00 - 226,100.00 USD annually (base salary)
Tools
Java, C++, Python, R, scikit-learn, Spark MxLib, MxNet, Tensorflow
AI focus
Develops and evaluates reinforcement-learning-based conversational AI agents for seller support, including preference learning, reward modeling, policy optimization, and agentic components; also uses AI-assisted coding tools.
Model-written summary · the original posting is authoritative