machine learning engineer for fraud prevention

Riskified empowers ecommerce businesses by providing AI-powered fraud and risk intelligence, chargeback protection, fraud and policy abuse prevention, and customer retention solutions. Its platform analyzes individual interactions to deliver real-time decisions and identity-based insights.

• Design, build, and maintain reusable AI capabilities spanning models, tools, APIs, and platforms for internal operations and customer-facing products;
• Develop and maintain the internal MCP server to provide AI agents with secure access to Riskified's data stores;
• Create and implement evaluation frameworks and AI guardrails to ensure model reliability and protect Riskified's value;
• Establish sustainable AI engineering practices across the organization;
• Champion AI readiness and track adoption company-wide;
• Build and optimize RAG systems;
• Own projects end to end, from gathering requirements through development, deployment, and ongoing operation;
• Serve as a consultant and advocate for AI engineering, guiding other teams in using created platforms and tools;
• Collaborate with teams across Riskified to accelerate AI adoption and productization.

• 5+ Years of backend and server-side development experience building complex and highly scalable systems;
• Proficiency in at least one general-purpose programming language; Python is preferred;
• Ability to build trust across functions and translate non-technical needs into technical solutions;
• Strong product-oriented thinking and ability to elicit, refine, and prioritize requirements from non-technical stakeholders;
• Deep ownership, DevOps experience, and ability to develop, deploy, and operate projects end to end;
• Ability to influence without authority and communicate with engineers, managers, VP, and C-suite leadership;
• Bias toward driving process improvements and technology adoption;
• High proficiency with AI-assisted coding tools such as Copilot, Cursor, or equivalents;
• Hands-on experience with public cloud platforms such as AWS, GCP, or Azure;
• Fluency in written and spoken English;
• Nice to have: agentic coding tools such as Claude Code or Copilot CLI, Strands Agents or comparable agentic frameworks, RAG architectures, Bedrock, MCP, containerized environments.

• €65000- €75000 Gross annually for candidates based in Lisbon;
• Bonus target for full-time regular employees;
• Eligibility for stock-based awards;
• Flexible schedule;
• Healthcare benefits;
• Monthly benefits package, including work-from-home equipment, gym membership, wellbeing activities, and more;
• Wellness program;
• Celebrations, activities, team events, and happy hours;
• Riskified gifts and swags;
• Volunteer programs;
• Personal development opportunities;
• Global onboarding;
• Role-based technical skills training;
• Full access to Udemy.