Role OverviewEmbark 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. You will impact 1/4 of the world's population.
What You Will Do
Translate ambiguous opportunities into 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, and publish papers to internal and external conferences.
Why It Might Be a Fit
Experience in building machine learning models for business application, experience with neural deep learning methods and machine learning, and experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, etc.
Requirements
- 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
Benefits
- Sign-on payments
- Restricted stock units (RSUs)
- 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
- Parental leave
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