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.
Key job responsibilities
As an Applied Scientist you will own the design and development of end‑to‑end systems. You’ll have the opportunity to write technical white papers, create technical roadmaps and drive production‑level projects that will support Amazon Science. You will have the opportunity to design new algorithms, models or other technical solutions whilst experiencing Amazon’s customer‑focused culture. The ideal scientist must have the ability to work with diverse groups of people and cross‑functional teams to solve complex business problems.
About the team
The Lead Generation & Detection Services (LEGENDS) organization is a specialized organization focused on developing AI‑driven solutions to enable fair and efficient talent acquisition processes across Amazon.
Our work encompasses capabilities across the entire talent acquisition lifecycle including role creation, recruitment strategy, sourcing, candidate evaluation and talent deployment. The focus is on utilizing state‑of‑the‑art solutions using Deep Learning, Generative AI and Large Language Models (LLMs) for recruitment at scale that can support immediate hiring needs as well as longer‑term workforce planning for corporate roles.
We maintain a portfolio of capabilities such as job‑person matching, person screening, duplicate profile detection and automated applicant evaluation as well as a foundational competency capability used throughout Amazon to help standardize the assessment of talent interested in Amazon.
* Experience programming in Java, C, Python or related language
* Experience with neural deep learning methods and machine learning
* Experience in applied research
* PhD or a Master’s degree and experience building machine learning models or developing algorithms for business application
* Experience with modeling tools such as R, scikit‑learn, Spark, MLLib, MxNet, TensorFlow, NumPy, SciPy etc.
* Experience with large‑scale distributed systems such as Hadoop, Spark etc.
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 for more information. If the country / region you’re applying in isn’t listed please contact your Recruiting Partner.
Required Experience :
Senior IC
Key Skills
* Sales Experience
* Door‑to‑Door Experience
* B2B Sales
* Time Management
* Marketing
* Cold Calling
* Salesforce
* Inside Sales
* Telemarketing
* Customer relationship management
* CRM Software
* Lead Generation
Employment Type: Full‑Time
Experience: years
Vacancy: 1
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