Machine Learning Engineering Manager - Identity Verification
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Requirements
• Prior experience in identity verification, biometrics, or presentation attack detection • Experience with adversarial ML, deepfake detection, or spoofing countermeasures. • Experience with Computer vision technologies. • Experience deploying models to mobile or edge environments • Familiarity with monitoring live ML systems and handling data drift • SEON Technologies collects and processes personal data in accordance with applicable data protection laws. If you are a European Job Applicant see the privacy notice https://apply.workable.com/seon-technologies-1/gdpr_policy?lng=en for further details.
Responsibilities
• Define and execute the technical vision for SEON’s Identity Verification systems across ML models and full-stack application layers • Lead end-to-end delivery of high-impact initiatives, from model development to backend services and frontend integration • Guide architecture and best practices to ensure scalability, reliability, performance, and security • Drive production excellence in ML, including monitoring, validation, and lifecycle management • Foster strong collaboration across Engineering, Product, Design, and Customer Success • Build a high-performance culture through coaching, hiring, and continuous team development • 3+ years of experience managing engineering teams and delivering complex software products • Strong understanding of production ML systems, ideally in computer vision, biometrics, or fraud detection • Experience owning the full ML lifecycle, from data and training to deployment and monitoring • Solid background in SaaS or distributed systems, including backend APIs and modern frontend frameworks • Familiarity with cloud infrastructure, containerization, and CI/CD practices • Strong architectural thinking, communication skills, and a data-driven problem-solving mindset • Cloud & DevOps Savvy: Solid experience with containerization (Docker), orchestration (Kubernetes), and cloud providers (AWS preferred, including experience with infrastructure as code tools like Terraform). • Agile & Adaptability: Proven ability to thrive in a fast-paced, Agile development environment, demonstrating strong adaptability and problem-solving skills for ambiguous and complex challenges. • Strategic Thinking: Demonstrated ability to think strategically, design, and implement end-to-end solutions that align with business objectives and technical vision. • Communication: Excellent English communication skills, both written and verbal, with the ability to articulate complex technical concepts to diverse audiences and influence stakeholders at all levels. • Problem-Solving: Outstanding analytical and problem-solving skills, with a focus on root cause analysis and proactive solution recommendation.