Responsibilities

• Apply your expertise in Transformer models, LLMs, ML/DL and statistical modeling to develop solutions and systems that describe how Amazon’s marketing campaigns impact customers’ actions
• Own the end-to-end development of novel causal inference models that address the most pressing needs of our business stakeholders and help guide their future actions
• Improve upon and simplify our existing solutions and frameworks
• Review and audit modeling processes and results from other scientists, both junior and senior
• Work with marketing leadership to align our measurement plan with business strategy
• Formalize assumptions about how our models are expected to behave and explain why they are reasonable
• Identify new opportunities that are suggested by the data insights - Bring a department-wide perspective into decision making
• Develop and document scientific research to be shared with the greater science community at Amazon

Requirements

• 4+ years of applied research experience
• 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

• 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.

Benefits

• 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.