Applied Science Manager Amazon

Amazon Advertising is one of Amazons fastest growing and most profitable businesses. As a core product offering within our advertising portfolio Sponsored Products (SP) helps merchants retail vendors and brand owners succeed via native advertising which grows incremental sales of their products sold through Amazon. The SP teams primary goals are to help shoppers discover new products they love be the most efficient way for advertisers to meet their business objectives and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive longterm growth.

We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day. We optimize product placements using a combination of machine learning and natural language processing (NLP) algorithms operating in low latency highvolume systems. We are highly motivated collaborative and funloving with entrepreneurial drive 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 an Applied Science Manager who combines technical excellence in machine learning with strong leadership and product intuition and who has a track record of leading teams of applied scientists and machine learning engineers. This person will be a handson technical leader who excels at driving innovation fostering a datadriven culture and leading through ambiguity to deliver measurable impact.

In this role you will:

Lead a team of applied scientists and ML engineers to deliver AIpowered solutions that directly impact product discovery and advertiser success.
Foster a datadriven culture where hypotheses are tested insights are derived from robust analysis and decisions are grounded in evidence.
Set technical and scientific direction by defining the vision roadmap and success metrics for highimpact ML and AI projects.
Advance scientific excellence by promoting innovation rigor and engineering craftsmanship across both science and engineering disciplines.
Drive through planning (sprint quarterly and annual) goalsetting stakeholder alignment and crossteam collaboration.
Provide technical guidance and leadership through ambiguous problem spaces helping the team navigate experimentation make sound scientific and engineering decisions and communicate technical results and business impact effectively to senior leadership.
Mentor and grow talent by hiring toptier scientists and engineers and providing ongoing coaching for both career growth and technical development.

4 years of applied research experience
3 years of scientists or machine learning engineers management experience
3 years of building machine learning models for business application experience
PhD or Masters degree and 6 years of applied research experience
Knowledge of ML NLP Information Retrieval and Analytics
Experience programming in Java C Python or related language

Experience in building largescale machinelearning models and infra for online recommendation ads ranking personalization or search etc.
Experience with Big Data technologies such as AWS Hadoop Spark Hive Lucene/SOLR or Kafka
Published research work in academic conferences or industry circles.
Excellent oral and written communication skills with the ability to communicate complex technical concepts and solutions to all levels of the organization.
Experience in computational advertising.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $165500/year in our lowest geographic market up to $286000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.