Sr. Applied Scientist, International Emerging Stores Payments

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

Sr. Applied Scientist, International Emerging Stores Payments

Job ID: 10515228 | Amazon.com Services LLC

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

1. Translate ambiguous opportunities in to defined science problem statements
2. Evaluate and identify the right ML algorithm to solve for the problems.
3. Identify and build the right features for the Models
4. Partner with IML team in applying GenAI development strategies to accelerate model development
5. 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 .

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

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