Sr. Applied Scientist, Amazon Advertising

Amazon

New York, NY

Full Time

Senior

150k-260k

4 days ago

Job Description

About the Role

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The 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 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 Scientist on this team, you will contribute to machine learning efforts, perform data analysis, develop insights, and build scalable ML models to enhance advertising products and customer experiences.

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 your models into production; work closely with software engineers to assist in productionizing your 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, model 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 relevant to machine learning or related fields.

Benefits & Perks

The position offers a total compensation package including base pay ranging from $150,400/year to $260,000/year depending on geographic location and experience.
Equity, sign-on payments, and other forms of compensation may be provided.
Full range of medical, financial, and other benefits.

Working at Amazon

Our inclusive culture empowers Amazonians to deliver the best results for our customers. We foster a highly motivated, collaborative, and innovative environment with an entrepreneurial spirit, encouraging experimentation and continuous learning.

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