Doppel

Doppel

Machine Learning Engineer (Detection, TOR)

Toronto, Ontario

Sponsorship not specifiedDetected 122 days ago
Machine Learning

Stay score

odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

Personalize to your clock →

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

4 transfer filings in the last year, covering 4 workers. Median labor-condition decision: 8 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • Why Join Doppel Doppel is built to outsmart one of the great threats AI presents: mass-manufactured social engineering.
  • Countless scams, deepfakes, and other social engineering attacks are surging across every digital channel: websites, social media, ads, encrypted messaging apps, mobile, and more.
  • Backed by a16z and Bessemer and trusted by some of the world's most recogn…

Company info

  • Join Doppel Doppel is built to outsmart one of the great threats AI presents:
  • mass-manufactured social engineering.
  • Our mission is simple but bold:
  • make the internet a safer place by outsmarting the world's fastest-evolving digital threats.

This listing is sourced directly from Doppel's careers page and normalized into a canonical job model.