Amazon
Sr. Applied Scientist, Agent Evaluation and Experimentation, DTx Science
$167K–$260K
New York, NY +2 · Senior · Full-time · Posted Oct 7, 2026
- Location
- New York, NY
SEATTLE, WA
Palo Alto, CA - 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
Leads applied science work to evaluate and measure the impact of agents, run experiments, and improve advertiser experience in Amazon Ads consoles.
What you'll do
- Lead agent evaluation, impact measurement, experimentation, and advertiser experience development.
- Drive high-ambiguity projects and align teams on science and engineering solutions.
- Apply advanced scientific methods to improve solutions, communicate results to business stakeholders, and mentor scientists.
What they ask for
- 3+ years of experience building machine learning models for business applications.
- PhD, or 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.
- Experience with large-scale distributed systems such as Hadoop or Spark.
Pay
192,200.00 - 260,000.00 USD annually (base salary); 183,800.00 - 248,700.00 USD annually (base salary); 167,100.00 - 226,100.00 USD annually (base salary)
Tools
Java, C++, Python, R, scikit-learn, Spark MLLib, Tensorflow, Hadoop
AI focus
Develop and evaluate agentic solutions, measure agent impact, and conduct agent experimentation; apply generative AI, reinforcement learning, causal inference, classical machine learning, and natural language processing.
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