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Senior ML Engineer — Shopee AI | Sea Limited | Singapore · Ganloss

AI role · Open offer

Senior ML Engineer — e-commerce intelligence

Sea Limited

Full-time
Senior
Shopee AI
Hybrid
1 Fusionopolis Place, #17-10 Galaxis, Singapore 138522 · Hybrid
Singapore, Singapore
SGD 150k–220k/year + RSUs

This listing is optimized for AI-native talent: clear skills and tools so candidates know if they fit before they apply—and so you spend less time screening mismatches.

4 skills2 tools

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At a glance

How you'll work, where, and key listing dates.

Employment: Full-time
Workplace: Hybrid
Location: 1 Fusionopolis Place, #17-10 Galaxis, Singapore 138522 · Hybrid
Compensation: SGD 150k–220k/year + RSUs
Experience level: Senior
Team: Shopee AI
Benefits & perks: RSUs, hybrid One-North, regional travel.
How to apply: Marketplace ranking, fraud, or personalization ML with A/B proof.
Company site: www.sea.com
Listed: Jul 19, 2026
Updated: Aug 3, 2026

About this role

What the team is looking for and how this position fits.

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.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

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).

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

KubernetesTool
Deploying and scaling model services with health checks, autoscaling, and rollout discipline.
SparkTool
Distributed feature generation and batch scoring on large tabular or event datasets.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

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.

Apply

Candidate accounts only: add your headline and bio on My account, and optionally a CV link or PDF so recruiters see your full résumé. Then write a short pitch below—applications use your login email.

What the employer asked for

Marketplace ranking, fraud, or personalization ML with A/B proof.

Sign in with a candidate account to apply

Register, add a headline and bio, then you can attach a CV link or PDF on My account before you apply. That keeps applications tied to your profile and makes it easier for employers to review your background.

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