Sr Applied Scientist, Brand Intelligence
Amazon
Job Description
About the Role
Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of advertising tools within Sponsored Products and Sponsored Brands that drive discovery and advertiser growth. Our brand understanding products are strategically important to our advertisers, helping them propel long term growth across retail and marketplace businesses. We deliver billions of ad impressions and clicks daily and are breaking fresh ground to create world-class brand intelligence models and products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. Within Sponsored Ads Advertiser Growth organization, the Brand Intelligence team is on a mission to make Amazon the best in class destination for shoppers to discover, engage and build affinity with brands, thereby making shopping delightful, and a personalized experience. Our team builds the central brand understanding foundation for Amazon ads and beyond. We focus on enabling brands to align customers' shopping intent and position its unique value proposition via Amazon Ads. We provide large-scale offline and online brand understanding data services, powered by Machine Learning technologies.
Key Responsibilities
- Invent and build scalable solutions for state-of-the-art context-aware Brand Understanding using NLP, Computer Vision, Large Language Models, Ads Recommender Systems, and/or Information Retrieval.
- Lead the effort of building key machine learning features.
- Contribute to the collaborative and innovative spirit within the team.
- Bring applied research to raise the bar within the team.
Requirements
- 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.
- Experience in building machine learning models for business application.
Nice to Have
- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability.
- Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects).
- Experience with large scale distributed systems such as Hadoop, Spark etc.
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Published relevant research work in leading ML conferences or journals.
Qualifications
- Educational background including a PhD or Master's degree with relevant research experience.
Benefits & Perks
- Competitive salary ranging from $150,400/year to $260,000/year depending on market location and experience.
- Equity, sign-on payments, and other forms of compensation may be provided as part of a total package.
- Full range of medical, financial, and other benefits.
Working at Amazon
Our inclusive culture empowers Amazonians to deliver the best results for our customers.
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About Amazon
Website
amazon.com
Location
Seattle, WA
Industry
All Other Miscellaneous Retailers
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