Amazon
Senior Applied Scientist, Machine Learning Accelerator
Amazon, Sunnyvale, California, United States, 94087
Senior Applied Scientist, Machine Learning Accelerator
Job ID: 2819577 | Amazon.com Services LLC Do you want to join an innovative team of scientists who use deep learning, natural language processing, and large language models to help Amazon provide the best seller experience across the entire Seller life cycle? Do you want to build advanced algorithmic systems that help manage the trust and safety of millions of customer interactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real-world problems? If yes, then you may be a great fit to join the Machine Learning Accelerator team in the Amazon Selling Partner Services (SPS) group. Key Job Responsibilities
The scope of an Applied Scientist III in the Selling Partner Services (SPS) Machine Learning Accelerator (MLA) team is to research and prototype Machine Learning applications that solve strategic business problems across SPS domains. Additionally, the scientist collaborates with engineers and business partners to design and implement solutions at scale. They develop large-scale solutions for high impact projects, introduce tools and techniques to solve problems, and show depth and competence in more than one area. They influence the team’s technical strategy and develop tools and practices that streamline the work of the team, mentor junior team members, and participate in hiring. BASIC QUALIFICATIONS
4+ years of applied research experience 3+ years of building machine learning models for business applications 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 PREFERRED QUALIFICATIONS
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. 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 during the application and hiring process, please visit
here
for more information. Posted:
December 10, 2024
#J-18808-Ljbffr
Job ID: 2819577 | Amazon.com Services LLC Do you want to join an innovative team of scientists who use deep learning, natural language processing, and large language models to help Amazon provide the best seller experience across the entire Seller life cycle? Do you want to build advanced algorithmic systems that help manage the trust and safety of millions of customer interactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real-world problems? If yes, then you may be a great fit to join the Machine Learning Accelerator team in the Amazon Selling Partner Services (SPS) group. Key Job Responsibilities
The scope of an Applied Scientist III in the Selling Partner Services (SPS) Machine Learning Accelerator (MLA) team is to research and prototype Machine Learning applications that solve strategic business problems across SPS domains. Additionally, the scientist collaborates with engineers and business partners to design and implement solutions at scale. They develop large-scale solutions for high impact projects, introduce tools and techniques to solve problems, and show depth and competence in more than one area. They influence the team’s technical strategy and develop tools and practices that streamline the work of the team, mentor junior team members, and participate in hiring. BASIC QUALIFICATIONS
4+ years of applied research experience 3+ years of building machine learning models for business applications 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 PREFERRED QUALIFICATIONS
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. 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 during the application and hiring process, please visit
here
for more information. Posted:
December 10, 2024
#J-18808-Ljbffr