Machine Learning Engineer for Large-Scale Systems

1 month ago


London, Greater London, United Kingdom ENGINEERINGUK Full time
About the Role:

We are looking for a dynamic and innovative Senior Applied Scientist to work on machine learning and data science initiatives for contextual data processing and classification that power our contextual advertising solutions.

The estimated salary for this role is $280,000 - $320,000 per year, depending on experience. As an applied scientist, you will invent ML and Artificial General Intelligence based solutions to power our contextual classification technology.

About the Team:

The Supply Quality organization has the charter to solve optimization problems for ad-programs in Amazon and ensure high-quality ad-impressions. We develop advanced algorithms and infrastructure systems to optimize performance for our advertisers and publishers.

Key Responsibilities:
  • Design, prototype, and test many possible hypotheses in a high-ambiguity environment.
  • Collaborate with software engineering teams to integrate successful experiments into large-scale, highly complex Amazon production systems.
  • Promote the culture of experimentation and applied science at Amazon.
Requirements:
  • PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field.
  • Experience in applied research.
  • Experience programming in Java, C++, Python, or related language.
  • Experience in building machine learning models for business applications.
  • Experience with generative deep learning models and specifically LLM and/or LVM development.


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