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

Job ID: 3113428 | Amazon Development Centre (Scotland) Limited

Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent Talent Acquisition (ITA), you\'ll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations. ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more, all with the shared goal of connecting the right people to the right jobs in a way that is fair and precise. Last year we delivered over 6 million online candidate assessments, and helped Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of workers in the right quantity, at the right location and at exactly the right time. You\'ll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms, leveraging Amazon\'s in-house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in people\'s lives. Together, we can solve the world\'s toughest hiring problems.

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• Work as a software engineer with strong technical abilities, a focus on the customer experience, and effective teamwork and communication skills.
  
• Collaborate with applied and research scientists to solve complex machine learning problems.
  
• Leverage familiarity with the machine learning lifecycle, including model training, validation, debugging tools, and analysis techniques.
  

The Lead Generation & Detection Services (LEGENDS) organization is a specialized group focused on developing AI-driven solutions to enable fair and efficient talent acquisition processes across Amazon.

Our work spans the entire talent acquisition lifecycle, including role creation, recruitment strategy, sourcing, candidate evaluation, and talent deployment. We focus on state-of-the-art solutions using Deep Learning, Generative AI, and Large Language Models (LLMs) for recruitment at scale to support immediate hiring needs and longer-term workforce planning for corporate roles.

We maintain a portfolio of capabilities such as job-person matching, person screening, duplicate profile detection, automated applicant evaluation, and a foundational competency capability used to standardize talent assessment across Amazon.

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• 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
  

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• Bachelor\'s degree in computer science or equivalent
  
• Experience in machine learning, data mining, information retrieval, statistics or natural language processing
  

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit the Amazon accommodations page for more information. If the country/region you\'re applying in isn\'t listed, please contact your Recruiting Partner.