Amazon Advertising is looking to solve the problem of helping merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon, by building a highly personalized, context-aware agentic advertiser guidance using LLMs and tools such as auction simulations, ML and optimization algorithms.
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
- 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.
Responsibilities
- Lead business, science and engineering strategy and roadmap for Sponsored Products Agentic Advertiser Guidance
- Drive alignment across teams for science, engineering, and product strategy to achieve business goals.
- Lead/guide scientists and engineers across teams to develop, test, launch and improve of science models designed to optimize the shopper experience and deliver long term value for Amazon and advertisers
- Develop state of the art experimental approaches and ML models.
Other
- PhD, or Master's degree and 6+ years of applied research experience
- Work safely and cooperatively with other employees, supervisors, and staff
- Adhere to standards of excellence despite stressful conditions
- Communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service
- Follow all federal, state, and local laws and Company policies
