Senior Applied Scientist , Sponsored Products

Amazon is investing heavily in building a world class advertising business and developing a collection of self-service performance advertising products that drive discovery and sales.

Our products are strategically important to our Retail and Marketplace businesses for driving long-term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products.

We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.

We are seeking a technical leader for our Supply Science team. This team is within the Sponsored Product team, and works on complex engineering, optimization, econometric, and user-experience problems in order to deliver relevant product ads on Amazon search and detail pages world-wide.

The team operates with the dual objective of enhancing the experience of Amazon shoppers and enabling the monetization of our online and mobile page properties.

Our work spans ML and Data science across predictive modeling, reinforcement learning (Bandits), adaptive experimentation, causal inference, data engineering.

Key job responsibilities

Search Supply and Experiences, within Sponsored Products, is seeking a Senior Applied Scientist to join a fast growing team with the mandate of creating new ads experience that elevates the shopping experience for our hundreds of millions 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.
30+ days ago