Employers

Who is hiring, and what applying looks like · trailing 90 days (2026-08-08 → 2026-11-05, SGT) · 3-5 yrs · AI-ML
Experience: all0-23-56+unstated
Role: allAI-MLBackendDataFrontendFullstackMobileOther-ITPlatformSRESecurity

1. Who is posting

Grouped by UEN, Singapore's legal-entity number — two spellings of one employer are one row. Per-employer figures are withheld below 5 postings: one posting's applicant count is not a company's character, and a disclosure rate over three postings says nothing about its policy. "Applications/day" divides each posting's applicant count by how long it had been listed, then takes the median across the employer's postings.

EmployerTypePostingsOn board nowApplications/dayStates pay
FLINTEX CONSULTING PTE. LTD.Consulting 508 0.80 100.0% (50/50)
TALENTSIS PTE. LTD.Startup 4311 0.31 100.0% (43/43)
BYTEDANCE PTE. LTD.Local Tech 160 0.35 100.0% (16/16)
MICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD.Other 112 2.73 100.0% (11/11)
TIKTOK PTE. LTD.Local Tech 103 0.78 100.0% (10/10)
ABEAM CONSULTING (SINGAPORE) PTE. LTD.Consulting 75 0.70 100.0% (7/7)
REALTEK SINGAPORE PRIVATE LIMITEDOther 72 0.70 100.0% (7/7)
PERSONNEL LINK JOBHUB PTE. LTD.Other 60 0.39 100.0% (6/6)
SHARE RESOURCES PRIVATE LIMITEDOther 61 2.80 100.0% (6/6)
DADACONSULTANTS PTE. LTD.Consulting 51 1.33 100.0% (5/5)
PERSOL SINGAPORE PTE. LTD.Other 50 1.44 100.0% (5/5)
SCIENTEC CONSULTING PTE. LTD.Consulting 52 1.00 100.0% (5/5)
ALLEGIS GROUP SINGAPORE PRIVATE LIMITEDOther 40 —(n=4) —(n=4)
ARYAN SOLUTIONS PTE. LTD.Consulting 42 —(n=4) —(n=4)
PERCEPT SOLUTIONS PTE. LTD.Consulting 43 —(n=4) —(n=4)
POROLIS TECHNOLOGIES PTE. LTD.Local Tech 42 —(n=4) —(n=4)
SCHELLDEN SOLUTIONS PTE. LTD.Consulting 44 —(n=4) —(n=4)
SIMPLIFYNEXT PTE. LTD.Consulting 41 —(n=4) —(n=4)
ACCESS PEOPLE (SINGAPORE) PTE. LTD.Startup 31 —(n=3) —(n=3)
APBA TG HUMAN RESOURCE PTE. LTD.Consulting 31 —(n=3) —(n=3)
AVENSYS CONSULTING PTE. LTD.Consulting 30 —(n=3) —(n=3)
EVOLUTION RECRUITMENT SOLUTIONS PTE. LTD.Consulting 32 —(n=3) —(n=3)
GOOGLE ASIA PACIFIC PTE. LTD.Local Tech 31 —(n=3) —(n=3)
HAYS SPECIALIST RECRUITMENT PTE. LTD.Other 30 —(n=3) —(n=3)
MICHAEL PAGE INTERNATIONAL PTE LTDConsulting 32 —(n=3) —(n=3)

By employer type

Consulting144Other142Startup69Local Tech49Bank & FinTech7Government7MNC3

Type is derived from the company's SSIC industry code and headcount, not self-declared — read it as a bucket, not a badge.

2. How long postings stay up

30 days
Median, closed postings
413
Postings measured
135
Still up, not measured

This is how long closed postings stayed up — not how long a posting lasts. A posting still on the board has no end date, so it cannot be counted, and the ones that linger are exactly the ones missing. The figure therefore runs short, and the 135 still up are the size of what it cannot see. Resolution is one day: collection is a daily batch.

Listed forPostingsShare
<7 days00.0%
7-14 days92.2%
15-30 days22354.0%
30-60 days18143.8%
60+ days00.0%

Postings worth a second look

Of 125 postings on the board, 0.0% have been listed over 60 days (0) and 8.8% have been reposted at least once (11). Signals, not verdicts — a genuinely hard-to-fill role looks the same from outside as a listing nobody intends to close.

3. How contested

Median applications and views per day, by discipline, over the trailing 90 days. Both counters are cumulative totals read at collection time, so they are divided by how long each posting had been listed — otherwise the figure measures how old a posting is rather than how contested. Withheld below 5 postings.

DisciplinePostingsApplications/dayViews/dayApply rate
AI-ML421 1.00 9.31 11.6%

These are snapshots, not trends. Each collection overwrites the view and application counters, so no history is kept — "applications this week" and "competition over time" are questions this system cannot answer, and nothing here should be read as movement.

Numbers computed by SQL from public MyCareersFuture data; data is refreshed daily, so it lags the live market by up to 24h. Methodology: docs/03-data-model.md · data freshness · Compliance: aggregate statistics only, no personal data.