Amazon's Intelligent Talent Acquisition (ITA) is looking to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations by leveraging data science, machine learning, and AI systems.
Requirements
- Experience programming with at least one software programming language
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- Advanced knowledge of Agentic AI frameworks like Crew AI, OpenAI SDK, Autogen, LangGraph or other similar frameworks.
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Responsibilities
- Use data science and machine learning to drive business insights, centralizing dashboards, developing and deploying machine learning models, conducting online evaluation and verification of agentic actions.
- Develop AI/ML solutions for Intelligent Talent Acquisition;
- Work closely with engineers, scientists, and product managers to design, implement and launch AI solutions, including Agentic AI, end-to-end;
- Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses;
- Effectively communicate technical and non-technical ideas with teammates and stakeholders;
- Stay up-to-date with advancements and the latest modeling techniques in the field.
Other
- Bachelor's degree or equivalent
- Master's degree in computer science or equivalent
- 3+ years of non-internship professional software development experience
- Ability to work in USA, VA, Arlington
- Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.