Sr. Applied Scientist, International Emerging Stores Payments

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

Benefits offered by this job

RSUs

Health insurance

401(k)

Paid time off

Parental leave

Job summary

Amazon Science in Seattle, WA is seeking an experienced ML/AI researcher to transform ambiguous opportunities into concrete science problems and choose suitable algorithms. You will design and extract features for models across global domains.

The role emphasizes GenAI development strategies with the IML team, publishing findings and contributing to scalable ML systems. Competitive compensation includes RSUs and comprehensive benefits.

Qualifications

• 3+ years building ML models for business applications
• PhD or Master’s +6 years of applied research
• Experience programming in Java, C++, Python or related language
• 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 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 modeling

Deep learning

Java

C++

Python

Education

PhD

Master's +6 yrs research

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

numpy

scipy

Hadoop

Spark

Job description

Description

Embark on an exciting science journey with International Emerging Stores Payments as we apply LLM techniques to improve the customer experience across multiple countries where we operate in. You will impact 1/4 of the world's population.

Key job responsibilities

• Translate ambiguous opportunities in to defined science problem statements
• Evaluate and identify the right ML algorithm to solve for 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.

Basic Qualifications

• 3+ years of building machine learning models for business application experience
• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

Preferred Qualifications

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually