The demand for AI and machine learning expertise is driving salary growth faster than almost any other discipline in tech. In Southeast Asia, Indonesia and Vietnam are at the center of this shift, with engineers who hold AI and ML skills commanding meaningful premiums over their peers. To set competitive compensation expectations, it’s essential to understand what salaries actually look like in these markets, why they are rising, and which skills are driving the premiums.
TL;DR
- AI and ML engineers globally are among the fastest-growing earners in tech, with average salaries reaching upward of $170,000 in mature markets [gsdcouncil.org].
- Workers with AI skills can earn up to 40% more than peers without them, according to Oxford Internet Institute research [futuresin.substack.com].
- In Indonesia and Vietnam, the salary gap between AI-skilled and general software engineers is widening.
- Industries with high AI exposure are seeing wages grow twice as fast as those with low exposure [pwc.com].
- Companies hiring in Southeast Asia need to recalibrate compensation benchmarks now, or risk losing strong candidates to competitors who already have.
About the Author: High Five is a talent platform that connects companies with tech and product talent across Southeast Asia, with deep coverage across Indonesia, Vietnam, Malaysia, the Philippines, and Singapore. The team tracks local compensation trends continuously as part of its sourcing and search strategy work.
Why Are AI and ML Salaries Rising So Fast in 2026?
Supply and demand is the short answer, but the mechanics matter. AI hiring grew by 88% globally as of late 2025, while the pipeline of engineers with production-grade ML experience has not kept pace [ravio.com]. That gap between demand and available talent is what pushes salaries up.
The effect compounds at the senior level. An engineer who can not only train models but also deploy, monitor, and iterate on them in a production environment is genuinely rare. Research from Oxford Internet Institute found that AI skills can increase a worker’s salary by as much as 40% above their non-AI peers [futuresin.substack.com]. A report from labor market intelligence platform Lightcast found that job postings mentioning AI skills commanded a 28% salary premium on average across industries, data that PayScale has also cited [payscale.com].
This is not a trend limited to Silicon Valley. The same pressure is arriving in Southeast Asia, just with a 12 to 24-month lag from Western markets.
What Do AI and ML Engineer Salaries Look Like in Indonesia and Vietnam?
Indonesia and Vietnam sit at different points on the maturity curve, but both are seeing the same directional movement.
In Indonesia, the engineering talent pool is larger and more established, particularly in Jakarta. ML engineers at mid to senior levels are increasingly benchmarked against regional rates rather than purely local ones, especially when working for startups or companies with regional ambitions. General software engineers in Jakarta earn roughly $10,000 to $22,000 annually, while engineers with strong ML or AI specializations are pulling meaningfully above that band, particularly those with experience in NLP, computer vision, or LLM fine-tuning.
In Vietnam, the market is driven heavily by export-oriented tech work and a strong engineering education system. Mid to senior software engineers typically earn between $18,000 and over $54,000 annually. The premium for AI skills is proportionally significant because supply is tight relative to local demand.
| Market | General Software Engineer (Annual) | ML/AI Engineer Premium | Key Demand Drivers |
|---|---|---|---|
| Indonesia | ~$10,000 to $22,000 | 15 to 35% above baseline | Fintech, e-commerce, health tech |
| Vietnam | ~$18,000 to $54,000+ | 30 to 45% above baseline | Export tech, SaaS, gaming, AI products |
Note: Figures are approximate based on market benchmarks and reflect total gross compensation for mid to senior-level roles. Premiums vary by specialization and company type.
Which Specific Skills Are Driving the Biggest Premiums?
Not all AI skills are equal. The premium is concentrated in a specific subset of capabilities, and this shapes how companies should think about role design when approaching software engineer hiring trends in 2026.
Skills attracting the highest premiums:
- LLM fine-tuning and prompt engineering at a production level, not just API wrappers.
- MLOps and model deployment (managing models in production, monitoring drift, retraining pipelines).
- Computer vision, particularly for manufacturing, logistics, and healthcare applications.
- Recommendation systems, which remain high-value in e-commerce and media.
- Data engineering for ML pipelines, because clean data infrastructure is the bottleneck most companies underestimate.
PwC’s Jobs Barometer found that industries most exposed to AI recorded revenue-per-employee growth three times higher than less-exposed industries [pwc.com]. That productivity gap is exactly why companies keep bidding up talent with these skills, even in cost-sensitive markets like Southeast Asia.
How Should Employers Adjust Their Hiring Strategy for AI Talent in Southeast Asia?
Building on the salary dynamics above, the harder question is not “what should we pay?” but “how do we actually find and attract these engineers?” The AI job market in 2026 is one where strong candidates are not actively browsing job boards. They are passive, already employed, and only move when an opportunity is compelling enough.
Practical adjustments employers should make:
- Benchmark against regional competition, not just local norms. Vietnamese and Indonesian ML engineers increasingly receive offers from Singapore-based companies, regional startups, and remote-friendly global firms. Local salary tables are no longer the right anchor.
- Design roles with technical growth in mind. Equity, interesting problems, and access to good infrastructure matter alongside cash compensation for this cohort.
- Source proactively, not reactively. Waiting for applications on a job posting will not surface the best AI engineers. Active outreach across LinkedIn, GitHub, and specialist communities is necessary.
- Move quickly in the interview process. Extended hiring cycles lose candidates to faster-moving competitors. Compressing time-to-offer is a competitive advantage.
- Set clear role scope. Vague job descriptions that conflate data analyst, ML engineer, and AI researcher roles will attract the wrong candidates and waste everyone’s time.
High Five’s sourcing model is built around exactly this kind of proactive, always-on approach, scanning LinkedIn, GitHub, and niche communities simultaneously to surface engineers who would never respond to a job post.
Frequently Asked Questions
What is the average salary for an AI/ML engineer in Indonesia in 2026? Mid to senior ML engineers in Indonesia typically earn between $22,000 and $50,000 annually, depending on specialization, company type, and experience. Engineers with rare skills like LLM deployment or MLOps command the upper end of this range.
Why are AI skills commanding such high premiums right now? Hiring demand for AI roles grew 88% while qualified supply lagged significantly [ravio.com]. That imbalance pushes salaries up. Oxford Internet Institute research quantifies the premium at up to 40% above non-AI peers [futuresin.substack.com].
Is Vietnam a good market to hire machine learning engineers? Yes. Vietnam has a strong engineering base and competitive salary levels. The AI skill premium is proportionally high because demand from both local and international companies is outpacing supply.
What skills should I prioritize when looking to hire machine learning engineers in Southeast Asia? Prioritize MLOps, LLM experience, and production deployment skills over candidates who only have academic or notebook-level ML experience. The gap between knowing ML theory and shipping ML in production is where most engineers fall short.
How do I attract passive AI talent who are not actively job hunting? Proactive sourcing via LinkedIn and GitHub, fast interview processes, compelling role design, and competitive compensation benchmarked against regional (not just local) rates are the most effective levers.
What is driving software engineer hiring trends in 2026 specifically toward AI roles? Companies in every sector are building AI into their products and operations, creating demand across fintech, health tech, e-commerce, and logistics simultaneously. This breadth of demand is what makes the current moment different from earlier AI hype cycles.
How quickly is the AI job market in 2026 expected to grow? Machine learning engineer job postings have already seen significant increases, with one market data source tracking a 32% jump in postings in a single month period [publicinsight.io]. Growth is expected to continue through 2026 and beyond.
About High Five
High Five is a talent platform that connects companies with top tech and business talent across Southeast Asia on a flat monthly subscription, with no success fees and no placement fees. It combines autonomous AI agents for sourcing and screening with human expert review across Indonesia, Vietnam, Malaysia, the Philippines, and Singapore. High Five is built for founders and operators who need to scale hiring without building a full internal recruiting function. Its deep regional knowledge and always-on sourcing model make it particularly well-suited for companies competing for in-demand AI and engineering talent in fast-moving markets.
If you are scaling a team in Indonesia, Vietnam, or elsewhere in Southeast Asia and want to compete for AI and ML talent, visit High Five to learn how the platform works.
