Applied Scientist, Workforce Intelligence

Amazon Development Centre Canada ULC; Vancouver; On-site; CAD 90,000 - 120,000; Full time

Job summary

A leading tech company in Vancouver seeks a Machine Learning Engineer to design and implement advanced AI models for hiring. This role involves collaborating with science teams and integrating AI-driven solutions into hiring processes. Candidates should hold a PhD or Master's degree with experience in ML, NLP, and programming languages such as Java, C++, or Python. The position offers the chance to make a significant impact in innovative hiring technologies.

Qualifications

• 3+ years of experience in building models for business applications.
• Experience in algorithms and data structures, parsing, numerical optimization, and data mining.

Responsibilities

• Design and implement advanced AI models using LLM and GenAI technologies.
• Collaborate with teams to integrate AI-driven products into hiring processes.
• Present work and respond to feedback effectively.

Skills

Building models for business application

Machine Learning (ML)

Natural Language Processing (NLP)

Programming in Java, C++, Python

Education

PhD or Master's degree in Computer Science, Computer Engineering, ML or related field

Tools

Unix/Linux

Job description

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.

About the team

The mission of Global Hiring Science (GHS) is to improve both the efficiency and effectiveness of hiring across Amazon with assessments and interview improvements. We are a team of experts in machine learning, industrial-organizational psychology, data science, and measuring the knowledge, skills, and abilities that it takes to be successful at Amazon.

BASIC QUALIFICATIONS

• 3+ years of building models for business application experience
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field 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

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.