Machine Learning Engineer Ii, Intelligent Talent Acquisition - Lead Generation & Detection Services

Amazon Amazon · Big Tech · MLN, United Kingdom +1 · Machine Learning Science

Machine Learning Engineer II at Amazon, focusing on Intelligent Talent Acquisition. The role involves building AI/ML-powered recruiting products, specifically working with foundational data and a knowledge graph for ML systems. It emphasizes developing systems for the entire talent acquisition lifecycle using Deep Learning, Generative AI, and LLMs at scale.

What you'd actually do

  1. You will work alongside applied and research scientists solving complex machine learning problems.
  2. Your daily activities will range from writing code, reviewing requirements with the product team, or reviewing your peer's code.
  3. You'll work closely with product, scientists, and engineers assigned to a shared project focused on delivering value to our customers.

Skills

Required

  • Experience (non-internship) in professional software development
  • Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
  • Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
  • Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations

Nice to have

  • Machine Learning lifecycle management, such as model training, validation, debugging tools, and analysis techniques
  • Bachelor's degree in computer science or equivalent
  • Experience in machine learning, data mining, information retrieval, statistics or natural language processing

What the JD emphasized

  • state-of-the-art research
  • advanced software tools
  • new AI systems
  • machine learning algorithms
  • Deep Learning
  • Generative AI
  • Large Language Models (LLMs)

Other signals

  • ML systems
  • knowledge-graph
  • Deep Learning
  • Generative AI
  • LLMs