Applied Scientist, ITA-Global Hiring Science

Job summary

Design and implement advanced AI models using LLM and GenAI technologies to improve hiring accuracy and fairness. Collaborate with cross-functional teams to integrate AI-driven products into Amazon's recruitment processes.

Job details

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. Global Hiring Science owns and develops products and services using Artificial Intelligence and Machine Learning (ML) that enhance recruitment. We collaborate with scientists to build and maintain machine learning solutions for hiring, offering opportunities to both apply and develop ML engineering skills in a production environment. Key job responsibilities - Design and implement advanced AI models using the latest LLM and GenAI technologies to develop fair and accurate machine learning models for hiring. - Clearly and cogently present your work and ideas, and respond effectively to feedback. - Collaborate with cross-functional teams with Research Scientists and Software Engineers to integrate AI-driven products into Amazon’s hiring process. - Stay at the advance of AI research, continuously exploring and implementing new techniques in NLP, LLMs, and GenAI to drive innovation in hiring. - Implement advanced natural language processing models to extract insights from diverse data sources. - Ensure effective teamwork, communication, collaboration, and commitment across multiple teams with competing priorities. - Contribute to the scientific community through publications, presentations, and collaborations with academic institutions. Basic Qualifications: - 3+ years of building models for business application experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience using Unix/Linux - Experience in professional software development - Master's degree in computer science, computer engineering, or related field 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 https://amazon.jobs/content/en/how-we-hire/accommodations [https://amazon.jobs/content/en/how-we-hire/accommodations] for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status. CAN, BC, Vancouver - 149,300.00 - 249,300.00 CAD annually

What you’ll do

Design and implement advanced AI models using LLM and GenAI technologies to improve hiring accuracy and fairness. Collaborate with cross-functional teams to integrate AI-driven products into Amazon's recruitment processes.

Requirements

Requires 3+ years of experience building models for business applications and proficiency in programming languages like Java, C++, or Python. A Master's degree in computer science or a related field is preferred.

Benefits

• Health insurance
• Medical insurance
• Dental insurance
• Vision insurance
• Prescription insurance
• Basic life insurance
• AD&D insurance
• Registered retirement savings plan
• Deferred profit sharing plan
• Paid time off
• Restricted stock units

Listed skills

• Machine learning · Preferred
• Python · Preferred
• Java · Preferred
• C++ · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Machine learning
• Artificial intelligence
• Python
• Java
• C++
• Natural language processing
• LLM
• GenAI
• Data mining
• Algorithms
• Data structures
• Numerical optimization
• Parallel computing
• Distributed computing
• High-performance computing
• Software development
• Business Software
• Data Structures
• Presentations
• Communication
• Operations
• Innovation
• Machine Learning
• Generative Artificial Intelligence
• Artificial Intelligence Infrastructure
• Artificial Intelligence
• Research
• Python (Programming Language)
• Software Engineering
• Computer Science
• Teamwork
• Linux
• Software Development
• Time Off Management
• Medical Prescription
• Natural Language Processing (NLP)
• Development Environment
• C++ (Programming Language)
• Unix
• Language Experience Approach
• Restricted Stock
• Computer Engineering
• Distributed Computing
• Data Mining
• Parsing
• Machine Learning Algorithms
• AI Research
• Mathematical Optimization

Job areas

• Technology
• Software
• Data & Analytics
• Science & Research
• Human Resources
• Applied Scientist
• Research Scientist
• Physical and Engineering Science Technicians Not Elsewhere Classified
• Physical Scientists, All Other

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