Senior Applied Scientist, Sponsored Products and Brands

Key job responsibilities

As an Applied Scientist, you will

• Develop scalable and effective machine learning models and optimization strategies to solve business problems.
• Conduct research on new machine learning modeling to optimize all aspects of Sponsored Products business.
• Enhance the scalability, automation, and efficiency of large-scale training and real-time inference systems.
• Pioneer the development of LLM inference infrastructure to support next-generation GenAI workloads at Amazon Ads scale.

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

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.

Additional information

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Pay and benefits

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.

• USA, NY, New York - 183,800.00 - 248,700.00 USD annually
• USA, VA, Arlington - 167,100.00 - 226,100.00 USD annually
• USA, WA, SEATTLE - 167,100.00 - 226,100.00 USD annually