Drimva

Amazon

Senior Applied Scientist, Entertainment Devices & Grocery Experiences (EDGE) Ads

$167K–$260K

Boston, MA +2 · Senior · Full-time · Posted Apr 17, 2026

Location
Boston, MA
Sunnyvale, CA
New York, NY
Experience
5+ 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

Owns the design, development, and launch of science-based advertising models and experiences for Amazon devices, improving ad performance and customer relevance.

What you'll do

  • Develop, test, deploy, and optimize machine-learning models for advertising and conversion outcomes.
  • Build scalable data pipelines and automated systems for data analysis, model development, validation, and serving.
  • Partner with scientists, engineers, and product managers to set science roadmaps and launch ad solutions.

What they ask for

  • 5+ 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 building speech recognition, machine translation, and natural language processing systems.

Nice to have

  • Experience with modeling tools such as R, scikit-learn, Spark MxLib, 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); 167,100.00 - 226,100.00 USD annually (base salary); 183,800.00 - 248,700.00 USD annually (base salary)

Tools

Java, C++, Python, R, scikit-learn, Spark MxLib, Tensorflow, Hadoop

AI focus

Develops advertising models and experiences, with a focus on agentic AI for ad targeting, including autonomous agents, multi-agent orchestration, planning, large multimodal models, reinforcement learning, and sequential decision-making.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)