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Senior ML Engineer — e-commerce intelligence
Sea Limited
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.
4 habilidades 2 herramientas
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Modalidad Hybrid
Ubicación 1 Fusionopolis Place, #17-10 Galaxis, Singapore 138522 · Hybrid
Compensación SGD 150k–220k/year + RSUs Nivel de experiencia Beneficios RSUs, hybrid One-North, regional travel. Cómo aplicar Marketplace ranking, fraud, or personalization ML with A/B proof.
Publicada 3 dic 2026 Sea Limited is hiring a Senior Senior ML Engineer — e-commerce intelligence on the Shopee AI team (Hybrid · Singapore, Singapore). This is a hands-on role in computer vision & geospatial AI —not a generic “AI enthusiast” post.
You will own vision, sensor, or geospatial models in production 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.
Sea Limited (Shopee, Garena) is Southeast Asia's e-commerce and digital entertainment leader — billions of orders and real-time personalization from Singapore .
Senior ML Engineer (hybrid One-North): ranking, fraud detection , and seller intelligence across Shopee marketplaces with strict latency SLOs.
About Sea Limited
NASDAQ-listed HQ in Singapore; engineering hub at Fusionopolis. ML powers search, ads, and trust & safety across ASEAN. Collaboration with product teams in Indonesia, Vietnam, and Brazil. What you will do
Train and deploy ranking models with online A/B experimentation. Build fraud graph features and real-time scoring pipelines. Optimize GPU inference cost for peak sale events. Stack & environment
Python, PyTorch, Spark, Kubernetes, feature stores. Hybrid Singapore; English primary with regional stakeholder calls. What we look for
5+ years ML in marketplaces or ads at scale. Eligible to work in Singapore. 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.
Computer Vision
Image or video models with clear eval harnesses (precision/recall, calibration, or domain-specific scores).
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: Marketplace ranking, fraud, or personalization ML with A/B proof. ✓ Several of these show up in recent shipped work—not only on your CV: Python, PyTorch, SQL, Computer Vision, and Kubernetes. ✓ You have owned vision, sensor, or geospatial models in production in production: debugging live issues, running postmortems, and iterating from real user or business signals. ✓ You are comfortable with the hybrid rhythm (Hybrid · Singapore, Singapore)—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: SGD 150k–220k/year + RSUs, benefits in At a glance) and your expectations align. Lo que pide la empresa
Marketplace ranking, fraud, or personalization ML with A/B proof.
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 — e-commerce intelligence
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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