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Senior ML Engineer — merchant AI
Shopify
Este anuncio está pensado para talento nativo en IA : habilidades y herramientas claras para saber si encajas antes de aplicar — y para reducir descartes por desajuste.
3 habilidades 2 herramientas
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Modalidad Hybrid
Ubicación 151 O'Connor Street, Ottawa, ON K2P 2L8, Canada · Hybrid
Compensación CAD 140k–180k/year + equity Nivel de experiencia Beneficios Equity, parental leave, learning stipend, hybrid. Cómo aplicar Share a ranking, search, or LLM feature you shipped at scale.
Publicada 30 jul 2026 Shopify is hiring a Senior Senior ML Engineer — merchant AI on the Merchant AI team (Hybrid · Ottawa, Canada). This is a hands-on role in LLM & generative AI —not a generic “AI enthusiast” post.
You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.
Shopify powers commerce for millions of merchants worldwide. Our Ottawa and distributed teams build ML for search, recommendations, and merchant-facing AI tools.
We are hiring a Senior ML Engineer (hybrid, Ottawa) to improve models that help merchants grow—with rigorous offline evals and production ownership.
What you will do
Ship production merchant AI and ranking systems with offline evals, monitoring, and safe rollout. Work with product and domain experts on requirements and trade-offs. Improve data pipelines, labeling, and metrics tied to business KPIs. Document runbooks for on-call and customer-facing teams. What we look for
Strong Python and modern ML/LLM stack with shipped features. SQL, experimentation, and clear communication to stakeholders. Eligible to work in the listed country; professional English required. Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
PyTorch
Training and inference with PyTorch: reproducible experiments, checkpointing, and deployment-minded exports.
SQL
Analytical SQL for features, cohorts, label quality, and experiment analysis at scale.
Kubernetes Tool
Deploying and scaling model services with health checks, autoscaling, and rollout discipline.
Spark Tool
Distributed feature generation and batch scoring on large tabular or event datasets.
✓ You can show evidence in your application: Share a ranking, search, or LLM feature you shipped at scale. ✓ Several of these show up in recent shipped work—not only on your CV: Python, PyTorch, SQL, Kubernetes, and Spark. ✓ You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals. ✓ You are comfortable with the hybrid rhythm (Hybrid · Ottawa, Canada)—onsite collaboration when it matters, deep work when remote. ✓ You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords. ✓ You read the full listing (comp: CAD 140k–180k/year + equity, benefits in At a glance) and your expectations align. Lo que pide la empresa
Share a ranking, search, or LLM feature you shipped at scale.
Inicia sesión con cuenta candidato para aplicar
Regístrate, añade titular y bio; luego podrás adjuntar enlace o PDF de CV en Mi cuenta antes de aplicar. Así las candidaturas quedan ligadas a tu perfil.
Sugerencias
Talento IA que podría interesarte Perfiles ordenados por solape con habilidades y herramientas de este rol — útil si contratas equipo o comparas candidatos.
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Título
Senior ML Engineer — merchant AI
Aplicar Pensado para equipos que contratan personas que trabajan con IA, no solo alrededor.
Los candidatos ven habilidades y herramientas al inicio; recibes candidaturas estructuradas en un solo panel.
Llega a profesionales de IA que buscan roles con expectativas basadas en pruebas.
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