AI/Machine Learning Engineer
Armstrong Collective ยท Vancouver, British Columbia ยท $125,000 - $145,000 annually
applies via recruiting.ultipro.ca
Verdict
Armstrong Collective is a real, well-established Vancouver employer โ the parent company of Rocky Mountaineer luxury rail service, HQ at 980 Howe St, Vancouver. Named one of BC's Top Employers multiple times. The apply URL uses UltiPro (Ceridian Dayforce/Ultimate Software) ATS (recruiting.ultipro.ca/GRE5000GCRC), a legitimate enterprise HR platform. However, the role โ AI/Machine Learning Engineer โ is atypical for a luxury rail/tourism company, which warrants slight scrutiny. That said, large hospitality companies do employ ML engineers for pricing, demand forecasting, and personalisation. Salary ($125Kโ$145K) is market-rate. No material fraud indicators.
- role_slightly_atypical+8
AI/ML Engineer role is unusual for a luxury rail tourism company, though plausible for data-driven pricing/personalisation
- salary_market_rate-5
$125,000โ$145,000 is consistent with ML engineer pay in Vancouver
- legitimate_ats-15
UltiPro/Ceridian ATS (recruiting.ultipro.ca) with company-specific path GRE5000GCRC
- verified_vancouver_employer-20
Armstrong Collective HQ at 980 Howe St, Vancouver; BC Top Employer award winner
Application flags (0)
No application flags detected.
Employer checks
{
"web": {
"websiteUrl": "https://www.thearmstrongcollective.com",
"websiteReachable": "yes",
"businessMatch": "match",
"locationMatch": "match",
"hasJobsListing": "yes",
"applicationAddressType": "none",
"confidence": 0.9,
"summary": "Armstrong Collective (Rocky Mountaineer parent) is a verified Vancouver employer and BC Top Employer award winner. Apply URL is their UltiPro/Ceridian ATS portal. ML role is slightly atypical for tourism but plausible. No fraud indicators."
}
}Full description
Occupation (NOC): Data scientists (21211) Location: Vancouver, British Columbia Salary: $125,000 - $145,000 annually Hours: Full-time How to apply: Online: https://recruiting.ultipro.ca/GRE5000GCRC/JobBoard/9cb3cc71-21ba-4bb5-b1a7-2c69b706555c/OpportunityDetail?opportunityId=7390cba6-f1b0-4788-93d8-317e6f1308fb