Sr. Applied Scientist, Amazon Advertising

About the Role

Key Responsibilities

• Be a strong contributor to Machine Learning; lending effort within this team and across other teams.
• Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.
• Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, and complexity.
• Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy models into production; work closely with software engineers to assist in productionizing ML models.
• Run A/B experiments, gather data, and perform statistical analysis.
• Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, validation, and serving.
• Research new and innovative machine learning approaches.

Requirements

• 5+ 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.

Nice to Have

• 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.

Qualifications

• Educational background including a PhD or Master's degree in a relevant field.
• Relevant experience in applied research and machine learning model development.

Benefits & Perks

• Competitive salary ranging from $150,400/year to $260,000/year depending on geographic location and experience.
• Total compensation including equity, sign-on payments, and other benefits.
• Medical, financial, and other benefits as part of the full compensation package.
• Workplace accommodations and support for applicants with disabilities.