Applied Science Manager - Machine Learning

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!

As an Applied Science Manager in Machine Learning, you will:
· Be a hands-on manager, leading a group of both applied scientists and software engineers to deliver machine-learning and personalization solutions to production.
· Advance team's engineering craftsmanship and drive continued scientific innovation as a thought leader and practitioner.
· Develop science and engineering roadmap, run Sprint/quarter and annual planning, and foster cross-team collaboration to execute complex projects.
· Perform hands-on data analysis, build machine-learning models, run regular A/B tests, and communicate the impact to senior management.
· Hire and develop top talents, provide technical and career development guidance to both scientists and engineers in the organization.

Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.

Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.

Team video ~ https://youtu.be/zD_6Lzw8raE

bs/en/disability/us

Basic Qualifications

· PhD degree with 4+ years of applied research experience or a Master's degree and 6+ years of experience of applied research experience
· 3+ years of experience in building machine learning models for business application
· Experience programming in Java, C++, Python or related language
· 3+ years of experience directly managing scientists and/or machine learning engineers
· PhD in Computer Science, Applied Mathematics, Statistics or a closely related field of study.
· At least 5 years years of related work experience.
· Proven track record of managing science teams, hiring and developing science talent.
· Hands on experience building machine learning models - from theoretical and application to real-world-problems perspectives.
· Deep knowledge of statistical modeling techniques, scientific thinking, and the ability to apply these skills to real-world applications.

Preferred Qualifications

· Experience in building large-scale machine-learning 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jo