Applied Scientist, Canada Tech: Multilingual AI & Search

Amazon Inc.; Vancouver; On-site; CAD 149,000 - 249,000; Full time

Job summary

Amazon.ca Technology is seeking an Applied Scientist to push the science boundaries for Canada, tackling ranking, search, and product understanding in both English and French. You will own long-term science strategy and partner with Core Search, Returns, and CA Product Managers to deploy models across the Canadian market.

The role focuses on model lifecycle from data exploration to deployment, including multi-modal reasoning, domain adaptation, and offline/online evaluation to improve

Qualifications

• 3+ years of building models for business application experience.
• Experience in CS, CE, ML or related field.
• Experience programming in Java, C++, Python or related language.

Responsibilities

• Develop personalized multi-modal thinking-LLM techniques that reason about customers, search, queries, ranking and products across both primary and secondary languages.
• Train large language models on various data signals and sets: domain-adaptive continued pre-training, reinforcement learning shopping reasoning traces, instruction tuning for natural-language shopping queries.
• Analyze Canada (CA) ranking-quality gaps using offline metrics and benchmark CA model staleness and architecture against other marketplace (e.g. US, EU, JP) equivalents.
• Formulate falsifiable ranking hypotheses linking a specific feature, architecture, or training change to predicted metric movement.
• Run standardized offline evaluation of model candidates; validate feature statistical distributions and coverage in-locale to detect anomalies; own and lead experiments to drive improvements on offline and online experiment benchmarks.
• Lead error analysis on failing query segments and segment-level deep dives (head/torso/tail, category, device), surfacing CA-specific failure modes such as bilingual and thin-category gaps.
• Own metric-tradeoff analysis and acceptable-regression boundaries, bridging model behavior and CA business priorities.
• Partner with teams such as Core Search on hypotheses, model training, and quality gates (MTBR / WLBR / SSAI).
• Classify feature-expansion effort tiers (available / pipeline extension / locale training / infeasible) combining locale knowledge with science judgment.

Skills

Building models

Java

C++

Python

Machine learning

Unix/Linux

Education

PhD

Master's degree

Job description

Amazon.ca Technology is seeking an Applied Scientist to push the science boundaries for Canada, tackling ranking, search, and product understanding in both English and French. You will own long-term science strategy and partner with Core Search, Returns, and CA Product Managers to deploy models across the Canadian market.

The role focuses on model lifecycle from data exploration to deployment, including multi-modal reasoning, domain adaptation, and offline/online evaluation to improve