Amazon
Applied Scientist, Outbound Communications, Automated Marketing Events
Amazon, San Francisco, California, United States, 94199
Applied Scientist, Outbound Communications, Automated Marketing Events Job ID: 2910955 | Amazon.com Services LLC
The Outbound Communications organization is seeking a highly motivated applied scientist. We are innovating and building scientific solutions to delight Amazon customers with timely, highly personalized, and relevant marketing messages across digital channels such as email, mobile, and SMS. As an applied scientist in Outbound, you will be tasked with leading scientific innovations using generative AI technology to create personalized messages using state-of-the-art machine learning techniques for customers across various platforms.
You will utilize large language models (LLMs) fueling today's AI growth, employing retrieval augmented generation (RAG) along with enhanced prompt engineering as a framework to combine LLMs with information retrieval systems and build models to generate and optimize marketing messages for customers.
Make sure to apply with all the requested information, as laid out in the job overview below. Key Job Responsibilities As an applied scientist in Outbound, you will: Own end-to-end model development for generating personalized messages for customers. Partner with product managers and business stakeholders to understand business/marketing use cases. Translate often open-ended requirements into scientific problems, conduct relevant research, and spearhead the development of state-of-the-art models. Define success metrics and independently run experiments to gauge the efficiency of your models. Design and set up experiments to assess the efficiency of the messages in real-world scenarios. Present scientific findings to product/marketing stakeholders and guide them in decision-making to maximize long-term benefits for Amazon. Code effectively and closely partner with the software engineering team to implement solutions in production. Document and publish research-driven solutions to influence the scientific community both within and outside of Amazon.
BASIC QUALIFICATIONS
Experience building machine learning models or developing algorithms for business applications. Knowledge of programming languages such as C/C++, Python, Java, or Perl.
PREFERRED QUALIFICATIONS
Experience with popular deep learning frameworks such as MxNet and TensorFlow. Experience programming in Java, C++, Python, or related languages.
Amazon is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do 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 here for more information. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Depending on the position offered, equity, sign-on 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 here. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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Make sure to apply with all the requested information, as laid out in the job overview below. Key Job Responsibilities As an applied scientist in Outbound, you will: Own end-to-end model development for generating personalized messages for customers. Partner with product managers and business stakeholders to understand business/marketing use cases. Translate often open-ended requirements into scientific problems, conduct relevant research, and spearhead the development of state-of-the-art models. Define success metrics and independently run experiments to gauge the efficiency of your models. Design and set up experiments to assess the efficiency of the messages in real-world scenarios. Present scientific findings to product/marketing stakeholders and guide them in decision-making to maximize long-term benefits for Amazon. Code effectively and closely partner with the software engineering team to implement solutions in production. Document and publish research-driven solutions to influence the scientific community both within and outside of Amazon.
BASIC QUALIFICATIONS
Experience building machine learning models or developing algorithms for business applications. Knowledge of programming languages such as C/C++, Python, Java, or Perl.
PREFERRED QUALIFICATIONS
Experience with popular deep learning frameworks such as MxNet and TensorFlow. Experience programming in Java, C++, Python, or related languages.
Amazon is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do 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 here for more information. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Depending on the position offered, equity, sign-on 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 here. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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