Applied Scientist
Amazon· Amazon Canada Technology
Hybrid (Vancouver, BC), Hybrid (Toronto, Ontario)CA$149.3k - CA$249.3kFull-timePosted yesterday
About the role
Applied Scientist to join Amazon Canada Technology, focusing on Canada-specific challenges in digital commerce. Own long-term science strategy and execute on models such as reasoning LLMs, embedding models, cross-encoder rankers, and multi-objective optimization systems to improve Canada-facing search, ranking, and product relevance.
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.
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
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Skills
Required:ProgrammingModel developmentOffline/online evaluation
Benefits
- Health insurance (medical, dental, vision, prescription)
- Registered Retirement Savings Plan (RRSP)
- Deferred Profit Sharing Plan (DPSP)
- Paid time off
- Other resources to improve health and well-being
Last updated Oct 25, 2026. Interested? Apply on the company site.
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