Senior Applied Scientist , Sponsored Products

Key job responsibilities

The Search Supply and Experiences team within Sponsored Products is seeking a Senior Applied Scientist to join a fast-growing team with the mandate of creating new ads experiences that elevate the shopping experience for our hundreds of millions of customers worldwide. We are looking for a top analytical mind capable of understanding our complex ecosystem of advertisers participating in a pay-per-click model and leveraging this knowledge to help turn the flywheel of the business.

As a Senior Applied Scientist on this team you will:

• Act as the technical leader in Machine Learning and drive full life-cycle Machine Learning projects.
• Lead technical efforts within this team and across other teams.
• Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production.
• Run A/B experiments, gather data, and perform statistical analysis.
• Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
• Work closely with software engineers to assist in productionizing your ML models.
• Research new machine learning approaches.
• Recruit Applied Scientists to the team and act as a mentor to other scientists on the team.

A day in the life

The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and with an ability to work in a fast-paced, high-energy, and ever-changing environment. The drive and capability to shape the direction is a must.

About the team

We are a customer-obsessed team of engineers, technologists, product leaders, and scientists. We are focused on continuous exploration of contexts and creatives where advertising delivers value to customers and advertisers. We specifically work on new ads experiences globally with the goal of helping shoppers make the most informed purchase decision. We obsess about our customers and we are continuously innovating on their behalf to enrich their shopping experience on Amazon.

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
• Experience with neural deep learning methods and machine learning

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.