Amazon
Senior Applied Scientist, Shopping Convo Foundations - Pre-purchases Science
$167K–$260K
Santa Clara, CA +1 · Senior · Full-time · Posted Aug 7, 2026
- Location
- Santa Clara, CA
Seattle, WA - 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 and 6+ years of applied research experience.
About the job
Leads research and development of machine-learning solutions that expand Amazon’s product catalogue, improve product attributes, and deliver scalable, low-latency production systems.
What you'll do
- Design and develop machine-learning models; conduct experiments and translate research into production solutions.
- Work with ML and software engineers to optimize, scale, and deploy models.
- Guide junior scientists.
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.
- Experience with large-scale distributed systems such as Hadoop or Spark.
Pay
USD 192,200.00 - 260,000.00 annually (base salary); USD 167,100.00 - 226,100.00 annually (base salary)
Tools
Java, C++, Python, R, scikit-learn, Spark MLLib, Tensorflow, Hadoop
AI focus
Develops AI/ML approaches for catalogue expansion and product-attribute challenges, including model experimentation, production deployment, and catalogue data quality.
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