Average Deep Learning Developer Salary in South Korea for 2026

How much does a deep learning developer make in South Korea?

A typical deep learning developer working in South Korea brings home around 3,849,983 KRW a month before tax. Entry-level pay starts near 21,241,100 KRW, and the top of the ladder reaches roughly 73,558,300 KRW for the most experienced and specialised people in the role.

The wide gap between low end and top end reflects how much pay can vary inside the same job title. A junior deep learning developer working at a small local employer earns very different money from a senior at a multinational. Skills, employer, city and years in the seat all push the number around.

How deep learning developer pay ranges in South Korea

A good way to think about salary in South Korea is to look at the distribution rather than the headline average. Half of all deep learning developers in South Korea earn less than 49,919,200 KRW a year, and the other half earn more. That middle number is the median, and it is usually more useful than the average for answering "is my pay normal here".

Looking at the quartiles fills in the picture. A quarter of earners take home less than 32,038,500 KRW (the 25th percentile), and a quarter clear 66,720,300 KRW (the 75th percentile). The middle 50% of deep learning developers sit somewhere inside that band, which is where the typical reader of this page probably lives.

The very lowest reported salaries sit around 21,241,100 KRW. The highest stretch to 73,558,300 KRW, though only a small fraction of earners ever reach that level. If you are deciding whether your own offer or current pay is reasonable, work out which of those four bands you would fall into and use that as your reference point.

Deep learning developer pay by experience in South Korea

Years of experience is the single biggest lever on pay for a deep learning developer in South Korea, ahead of education and almost any other single factor. The longer you have been in the role, the more your employer can trust you to handle complexity, mentor others and act independently, all of which command higher pay. The chart below shows how the typical deep learning developer salary changes as you move through the career ladder.

The single largest jump on the ladder is from 2 - 5 Years to 5 - 10 Years, where pay rises by about 48%. That is the point at which a deep learning developer typically goes from "competent in the role" to "the person other people in the team learn from", and the market pays well for that step.

Deep learning developer pay by education in South Korea

Education sits alongside experience as one of the biggest factors driving deep learning developer pay in South Korea. Higher qualifications consistently pull higher salaries, but the size of the gap tends to be smallest at junior levels and widens as people move up. Two people in the same role with the same years of experience but different degrees can end up earning very different money once they reach mid-career.

Below is the average deep learning developer salary in South Korea broken down by the highest level of education a worker has completed.

Deep learning developer gender pay gap in South Korea

The gender pay gap is a stubborn feature of almost every labour market, and South Korea is no exception. Male deep learning developers in South Korea earn an average of 47,999,400 KRW a year, while female deep learning developers earn around 44,519,300 KRW. That works out to a 8% gap in favour of men, even when comparing people doing the same work.

A pay gap of this size has a real long-term cost. Over a typical thirty-year career it can add up to several years of pay, and it compounds through pensions, retirement contributions and bonus-linked stock. Some of the gap is explained by women being more likely to work part-time, take career breaks, or be steered toward lower-paying specialisations. Some of it is straightforward unequal pay for the same job, which is harder to defend.

Pay raises for a deep learning developer in South Korea

Most countries hand out at least some kind of pay raise every year, typically when an employee's contract is reviewed or as a cost-of-living adjustment to keep wages roughly in step with inflation. The rhythm and size of those raises varies hugely between industries.

A typical worker doing this role in South Korea sees a raise of about 12% every 18 months, which works out to roughly 8% on an annual basis. That figure is the typical underlying rate; in years where inflation runs high you can usually expect a bit more, and in flat-economy years a bit less.

Across all jobs in South Korea, the national average raise is around 9% every 16 months.

By industry

Industries with the highest pay raises in South Korea:

By experience level

Experienced workers tend to see larger raises. Retaining a senior is cheaper than replacing them, so employers fight harder for them.

Deep learning developer bonus rates in South Korea

Bonuses are the other half of total compensation, and they vary a lot between jobs and industries. Some roles are paid almost entirely in base salary; others lean heavily on bonus structures tied to revenue, project completion or company performance. Whether a job pays a bonus, how big it is, and how often it lands all factor into whether the headline salary is actually a good offer.

Which careers pay bonuses in South Korea

Revenue-facing roles tend to pay the biggest bonuses. Operational and support roles tend toward smaller, more predictable ones.

Deep learning developer: public vs private sector pay

Public-sector pay in South Korea is about 6% more than private-sector pay for similar work. The private sector typically offers stronger upside and bigger bonuses; the public sector typically offers better benefits and stability.

Deep learning developer salary by city in South Korea

Deep learning developer pay is not even across South Korea. The chart below shows the highest-paying cities in the dataset, followed by the full location table.

Similar jobs to a deep learning developer

Other jobs in the same category as a deep learning developer in South Korea.

Deep Learning Developer in South Korea: FAQs