Applied Scientist, Amazon Canada Technology, Amazon Canada

Role overview

Key responsibilities

• Develop personalized multimodal thinking-LLM techniques for customers, search, queries, ranking, and products across primary and secondary languages.
• Train LLMs using shopping, returns, and reasoning data, including continued pre-training, reinforcement learning, and instruction tuning.
• Analyze Canadian ranking-quality gaps and compare model freshness and architecture with other marketplaces.
• Formulate testable ranking hypotheses and run offline evaluations and online experiments; validate feature distributions and local coverage.
• Lead query-segment and category error analysis, including Canadian bilingual and thin-category gaps.
• Own metric trade-off analysis and acceptable-regression boundaries; partner on hypotheses, training, and quality gates.
• Classify feature-expansion effort by availability, pipeline extension, locale training, or feasibility.

Basic qualifications

• At least 3 years of experience building models for business applications.
• Experience in CS, CE, ML, or a related field.
• Programming experience in Java, C++, Python, or a related language.
• Experience in at least one of algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.

Preferred qualifications

• Experience using Unix/Linux.
• PhD, or a master’s degree and experience in CS, CE, ML, or a related field.
• Experience understanding performance metrics and developing measures of progress against KPIs.

About the team

Compensation

• The listed annual base salary range is CAD 149,300–249,300 for Vancouver, British Columbia, and Toronto, Ontario.
• Total compensation may include sign-on payments and restricted stock units; final compensation depends on experience, qualifications, and location.