Posting record
Open 11+ days
- Bureau's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Bureau, so its true age is longer.
Last checked Nov 4, 2026.
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Upload your resumeWhat the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
About the role
About Bureau
Bureau is a unified risk decisioning platform for Compliance, Fraud, and Transaction risks. Our platform is a single decision-making engine, powered by a 1 billion+ identity knowledge graph. Over 150 Banks, fintechs, retailers, and digital platforms use Bureau to verify identities faster and stop fraud earlier globally.
Bureau has raised $50M+ from renowned Silicon Valley and global investors including Sorenson Capital and PayPal Ventures and is expanding rapidly from APAC to Americas, Europe, and beyond.
Why Bureau?
Bureau is building the infrastructure that makes digital identities and transactions safe and trustworthy for billions of people. The mission is big, the problems are complex, and the impact is real.
We hire people who want that level of responsibility. People who move fast, build systems from scratch, and care deeply about turning strategy into execution. If you want predictability or narrow scope, this won't be your place. If you want to shape how a scaling global company operates—keep reading.
What You'll Do
- Build and maintain features and components for graph-native models (GNNs, embeddings, graph algorithms) used to detect fraud, collusion, and identity risk
- Support the design, training, and evaluation of statistical, AI/ML, and deep learning models for fraud and risk, under a senior data scientist's guidance
- Run experiments, clean and prepare data, and do light pipeline work to help tune model performance
- Write production-quality code backed by statistics and ML, and help build out ML observability for the models you work on
- Document your work clearly enough that others on the team can pick it up
What You'll Bring
- BS/MS in ML, CS, Math, Stats, or a related field; 1 to 3 years in DS/AI/ML Engineering roles (internships with real shipped work count)
- Strong Python; working knowledge of SQL; exposure to a cloud platform (AWS/Databricks/Azure) is a plus
- Some experience taking a model from a notebook toward something production-adjacent, ideally with fraud, risk, payments, or compliance data — but we'll take strong fundamentals over domain experience
- Comfort with ambiguity and unlabelled data, and the initiative to ask questions and look things up rather than wait to be told
- Prior exposure to graph-based thinking (even coursework or personal projects) is a plus, not a requirement
Our Culture
- We hire self-motivated people and get out of their way
- We value performance, not hours worked
- Speed, ownership, and impact matter most
Compensation
- Competitive salary + potential equity
- Health benefits, flexible PTO, learning budget
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