Applied Scientist, Machine Learning Accelerator

15 hours ago


Seattle WA United States Amazon Full time
Applied Scientist, Machine Learning Accelerator

Job ID: 2846144 | 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, including recruitment, growth, and support? 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 II in the 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 project leaders, engineers, and business partners to design and implement solutions at scale. The scientist focuses on components of large-scale projects, systems, and products and can work independently and with the team to deliver successful solutions with medium to large business impact. The scientist helps our team evolve by actively participating in discussions, team planning, and by staying current on the latest techniques arising from both the scientist community in SPS, the larger Amazon-wide community, and beyond. The scientist develops and introduces tools and practices that streamline the work of the team, mentors junior team members, and participates in hiring.


BASIC QUALIFICATIONS
  1. 3+ years of building models for business application experience
  2. PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
  3. Experience programming in Java, C++, Python or related language
  4. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

PREFERRED QUALIFICATIONS
  1. Experience using Unix/Linux
  2. Experience in professional software development

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.

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