Détail du poste Trustpair stops vendor fraud before it happens. We're the automated vendor validation platform protecting 400+ enterprise companies worldwide. Since 2017, finance and procurement teams have used Trustpair to eliminate vendor fraud while reclaiming 90% of the time they once spent on manual checks. As vendor fraud grows more sophisticated, we stay ahead by combining deep expertise in financial crime with cutting-edge technology. Our core product focuses on secure, reliable vendor account validation to wipe out fraud and boost efficiency. Internally, teams across Trustpair use AI tools in their day-to-day work to automate repetitive tasks and unlock strategic insights that help us build and operate better. From day one, you'll be encouraged and trained to integrate these tools into your workflow in a practical, hands-on way. With offices in New York, Paris, London, and Milan, we're a diverse team united by a bias for action. We ship fast, learn from experiments, and tackle problems that matter: protecting billions in payments for companies worldwide. If you want to see your work make an immediate impact in financial security, Trustpair is built for you. Learn more about . About the role We are looking for a Senior Machine Learning Engineer to join our Core Evaluation team and help spearhead Trustpair's next phase of AI and ML development. In this role, you will work at the intersection of predictive machine learning, software engineering, fraud prevention, and generative AI. Your mission will be to strengthen Trustpair's fraud prevention engine by designing, training, evaluating, and deploying robust ML models using our proprietary data, while also contributing to the evolution of our agentic Risk Engine. You will play a key role in transforming advanced fraud detection techniques into scalable product capabilities, helping Trustpair remain at the forefront of vendor fraud prevention. This is a high-impact role for someone who is both deeply technical a
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