Amazon - Seattle, WA

posted 4 months ago

Full-time - Senior
Seattle, WA
Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Senior Applied Scientist position within the Machine Learning Accelerator team at Amazon is a pivotal role that focuses on leveraging advanced machine learning techniques to enhance the seller experience across various stages of the seller life cycle. This includes recruitment, growth, and support, with a strong emphasis on risk mitigation to ensure a seamless interaction between customers and sellers. The role is designed for individuals who are passionate about deep learning, natural language processing, and large language models, and who are eager to apply these technologies to real-world challenges. In this position, you will be responsible for researching and prototyping machine learning applications that address strategic business problems within the Selling Partner Services (SPS) domain. You will collaborate closely with engineers and business partners to design and implement scalable solutions that can deliver significant benefits to SPS organizations. Your work will involve developing large-scale solutions for high-impact projects, introducing innovative tools and techniques to tackle complex problems, and demonstrating expertise in multiple areas of machine learning. As a Senior Applied Scientist, you will also play a key role in influencing the technical strategy of the team. This includes making insightful contributions to the team's priorities, approach, and planning. You will be expected to mentor junior team members, participate in hiring processes, and develop practices that streamline the team's workflow. Your contributions will directly impact the profitability of the company by building end-to-end business solutions that enhance the overall customer and seller experience.

Responsibilities

  • Research and prototype machine learning applications to solve strategic business problems across SPS domains.
  • Collaborate with engineers and business partners to design and implement scalable solutions.
  • Develop large-scale solutions for high-impact projects.
  • Introduce tools and techniques to solve problems from various perspectives.
  • Influence the team's technical strategy by contributing to priorities, approach, and planning.
  • Mentor junior team members and participate in hiring processes.
  • Develop and introduce tools and practices that streamline team workflows.

Requirements

  • 4+ years of applied research experience.
  • 3+ years of experience building machine learning models for business applications.
  • PhD or Master's degree with 6+ years of applied research experience.
  • Experience programming in Java, C++, Python, or related languages.
  • Experience with neural deep learning methods and machine learning.

Nice-to-haves

  • Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy.
  • Experience with large scale distributed systems such as Hadoop and Spark.

Benefits

  • Comprehensive medical, financial, and other benefits.
  • Equity and sign-on payments as part of total compensation package.
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