Machine Learning Engineer Salaries in the Lion City
Machine Learning Engineering is one of the highest-paying technical disciplines in Singapore. Driven by aggressive national AI strategies and the presence of global tech giants, companies are offering elite salaries to attract top ML talent from around the globe.
(Note: Salaries are quoted in SGD.)
Average Salary by Experience Level
- Junior ML Engineer (0-2 years): $90,000 - $130,000 SGD per annum
- Mid-Level ML Engineer (3-6 years): $140,000 - $220,000 SGD per annum
- Senior ML Architect / Head of AI (7-10+ years): $250,000 - $380,000+ SGD per annum
Salary by Industry Sector
1. FAANG and Global Tech Giants (Google, Meta)
- Mid-Level Pay: $180,000 - $280,000 SGD (Base + RSUs).
- The Profile: Operating at the cutting edge of AI research and deployment. Managing massive ML pipelines for global products. Extremely rigorous interviews focusing on mathematics and system architecture.
2. FinTech, Banking, and Quant Funds
- Mid-Level Pay: $160,000 - $240,000 SGD.
- The Profile: Building algorithmic trading models, deep learning fraud detection, and hyper-personalized financial recommendation engines. Demands extreme accuracy and offers excellent bonuses.
3. E-commerce and Super Apps (Grab, Shopee)
- Mid-Level Pay: $130,000 - $190,000 SGD.
- The Profile: Optimizing logistics routing, dynamic surge pricing, and user personalization. Fast-paced, product-focused, requiring strong MLOps skills to serve millions of daily predictions across APAC.
The "MLOps & LLM" Premium
If you only know how to train standard scikit-learn models in a Jupyter notebook, your salary will cap out around $140,000 SGD. To push past $280,000 SGD, you must master MLOps and Large Language Models (LLMs). If you can fine-tune LLMs securely on proprietary enterprise data and deploy scalable ML architectures on AWS SageMaker or GCP Vertex AI, you become one of the most elite and highly compensated technologists in Southeast Asia.
