Global Payments Scientist for Emerging Stores (GenAI)

Amazon; Seattle (WA); On-site; USD 167,000 - 226,000; Full time

Job summary

Amazon seeks a Sr. Applied Scientist for International Emerging Stores Payments to apply LLM techniques across countries, shaping science problems and selecting algorithms. You will build features, partner with the IML team on GenAI strategies, and publish results in conferences.

If you thrive in a global, fast-paced environment, this role offers impact and growth. With 3+ years in ML and a PhD or MSc with 6+ years of research, you’ll work on large-scale systems using Java, C++, or Python, and

Qualifications

• PhD or MSc with 6+ years of applied research experience.
• 3+ years building ML models for business applications.
• Proficiency in Java, C++, or Python.
• Experience with neural deep learning methods and ML.

Responsibilities

• Translate ambiguous opportunities into defined science problem statements.
• Evaluate and identify the right ML algorithm to solve the problems.
• Identify and build the right features for the models.
• Partner with IML team in applying GenAI development strategies to accelerate model development.
• Publish papers to internal and external conferences.

Skills

ML model training

Python/Java/C++

Applied ML research

Education

PhD or MSc + 6+ yrs

Tools

R

scikit-learn

Spark MLLib

TensorFlow

MxNet

NumPy

Job description

Amazon seeks a Sr. Applied Scientist for International Emerging Stores Payments to apply LLM techniques across countries, shaping science problems and selecting algorithms. You will build features, partner with the IML team on GenAI strategies, and publish results in conferences.

If you thrive in a global, fast-paced environment, this role offers impact and growth. With 3+ years in ML and a PhD or MSc with 6+ years of research, you’ll work on large-scale systems using Java, C++, or Python, and