This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Applied AI Research Scientist based in Canada.
As an Applied AI Research Scientist, you’ll apply deep learning and foundation model expertise to some of the most challenging problems in fraud detection and financial risk. You’ll work with rich, large-scale behavioral and sequential datasets spanning device intelligence, biometrics, telemetry, payments, and consortium signals. The role combines cutting-edge applied research with hands-on production engineering, taking models from experimentation through real-time deployment. You’ll help define and execute the roadmap for next-generation fraud foundation models while establishing rigorous standards for model evaluation and performance. Collaboration will span data science, engineering, product, compliance, legal, and customer-facing teams. You’ll also work directly with financial institutions and fintech organizations to translate model capabilities into practical risk decisions. This is a remote-first opportunity for an independent, highly motivated scientist who wants their research to create measurable real-world impact.
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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