AI & Machine Learning Careers in Japan: What 436 Job Postings Ask For
Every figure on this page summarizes job postings tracked on AirTA. It describes what employers asked for in their postings, in aggregate, and is shown the same way to every reader. It is not a description of any individual’s career or prospects.
- 436
- 161
- 50%
- 48%
What Gets You In
1-2 years of experience
42
3-4 years of experience
86
5-9 years of experience
80
10+ years of experience
8
10%
19% day-to-day or above
Generative AI
65%
Python
63%
Machine Learning
62%
AWS
47%
Google Cloud
35%
Data Analysis
30%
Azure
29%
API Development
24%
436 postings
Levels by Experience
1–2 years
5%
32% day-to-day or above
42 postings
3–4 years
10%
18% day-to-day or above
Google Cloud 49% (+23)
Machine Learning 64% (+19)
AWS 53% (+17)
Terraform 19% (+17)
TypeScript 24% (+14)
86 postings
5+ years
13%
31% day-to-day or above
88 postings
Stated Pay
Median ¥9,400,000 · 208 postings state pay
¥7,500,000
25th to 75th percentile of stated salaries
¥11,000,000
Median ¥9,500,000 · 52 postings state pay
¥8,000,000
25th to 75th percentile of stated salaries
¥11,100,000
Working Conditions
- 120 days
62 postings
- 20 h
58 postings
- 45%
- 29%
Fully remote
53
Hybrid
86
On-site
17
434 postings
What Comes Next
People management
20
Specialist track
19
Senior leadership
12
Project management
10
Employers naming each step, of 26 that name one
Who Is Hiring
All AI & Machine Learning openings
436 postings from 161 employers, as of 2026-09-22
Related Functions
Frequently Asked Questions
What is the AI & Machine Learning career ladder?
A level-by-level summary of what live AI & Machine Learning job postings tracked on AirTA ask for. Levels come from job titles (manager, director, senior and so on) and, separately, from the years of experience a posting states. Every figure is a statistic over those postings, refreshed daily.
Where do the numbers come from?
From the job postings AirTA collects from employer career sites and applicant tracking systems. Years of experience, certifications and management experience are read from the posting text; the level is read from the title; pay is the salary the employer stated on the posting. Nothing is estimated for an individual.
Why is there no pay figure at some levels?
A pay band publishes only when at least 30 postings at that level state a salary, and a median only from 10. Senior-level pay is rarely published in Japan, so the honest answer at some levels is no figure rather than a figure borrowed from another level.
What does "candidate for" mean?
Some postings are titled 「マネージャー候補」 or "Manager Candidate": the employer states in the title that the opening is for someone who will grow into that level. The ladder counts those titles as the employer wrote them. It does not predict anyone’s promotion.
Role information is sourced from companies' public careers pages. Listed companies are not affiliated with AirTA. Is this your company? Claim your listing or request removal.