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Applied Scientist, Workforce Intelligence - Job Opportunity at Amazon Development Centre Canada ULC

Vancouver, Canada
Full-time
Senior
Posted: February 9, 2025
On-site
CAD 149,300-249,300 per year

Benefits

Comprehensive medical benefits package
Financial benefits including equity compensation
Professional development opportunities
Advanced AI/ML research environment
Global impact potential

Key Responsibilities

Design and implement advanced AI models using LLM and GenAI technologies for fair hiring practices
Present technical work and respond to stakeholder feedback
Collaborate with Research Scientists and Software Engineers on AI product integration
Drive innovation in NLP, LLMs, and GenAI applications
Contribute to scientific community through publications and academic collaborations

Requirements

Education

PhD, or Master's degree and 4+ years of experience

Experience

3+ years of building models for business applications

Required Skills

Java, C++, Python programming Algorithms and data structures Parsing Numerical optimization Data mining Parallel and distributed computing High-performance computing Unix/Linux Natural language processing Large language models Experimental design Data analysis
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Sauge AI Market Intelligence

Industry Trends

Rapid adoption of LLMs in enterprise hiring processes is creating high demand for AI scientists with hiring technology expertise Increasing focus on fair and ethical AI in recruitment is driving innovation in model design Growing integration of GenAI in talent acquisition platforms is reshaping the hiring landscape

Salary Evaluation

The offered salary range of CAD 149,300-249,300 is competitive for senior AI scientists in Vancouver, reflecting the specialized nature of LLM expertise in hiring

Role Significance

Likely part of a specialized team of 5-8 scientists within the larger Global Hiring Science organization
Senior individual contributor role with significant impact on Amazon's global hiring processes

Key Projects

Development of fair AI hiring assessment systems LLM-based candidate evaluation platforms Automated skills assessment tools Cross-cultural hiring model optimization

Success Factors

Deep expertise in both theoretical and applied machine learning Ability to balance model accuracy with fairness considerations Strong research orientation combined with practical implementation skills Effective cross-functional collaboration abilities

Market Demand

Very high demand, particularly due to the intersection of LLM expertise and hiring technology experience

Important Skills

Critical Skills

LLM expertise and fair AI model development Production-scale ML system design Cross-cultural assessment methodology

Beneficial Skills

Academic publication experience Distributed systems optimization Hiring process domain knowledge

Unique Aspects

Rare opportunity to work on hiring AI at unprecedented scale
Direct impact on Amazon's global workforce development
Combination of academic research and practical application

Career Growth

2-4 years typical progression timeline to next level, depending on impact and innovation contributions

Potential Next Roles

Principal Applied Scientist Technical Director - AI/ML Chief Scientist - Talent Technology

Company Overview

Amazon Development Centre Canada ULC

Amazon's ITA team is pioneering the application of AI in enterprise-scale hiring, processing millions of assessments annually

Industry leader in AI-driven hiring technology with significant resources and scale
Vancouver office serves as a key AI/ML development hub for Amazon's global operations
Fast-paced research environment with high emphasis on innovation and practical impact
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