SEON Technologies is hiring a Machine Learning Engineering Manager to lead our Identity Verification ML team. You will manage both the Machine Learning and Full-Stack Engineering sub-teams, delivering the production-grade ML systems and robust application infrastructure that power SEON's next-generation solutions. You will be accountable for technical direction, delivery excellence, team growth, and cross-functional alignment.
What You'll Do
- 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.
What We're Looking For
- 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.
- Solid experience with containerization (Docker), orchestration (Kubernetes), and cloud providers (AWS preferred, including experience with infrastructure as code tools like Terraform).
- Proven ability to thrive in a fast-paced, Agile development environment, demonstrating strong adaptability and problem-solving skills for ambiguous and complex challenges.
- Demonstrated ability to think strategically, design, and implement end-to-end solutions that align with business objectives and technical vision.
- 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.
- Outstanding analytical and problem-solving skills, with a focus on root cause analysis and proactive solution recommendation.
Nice to Have
- 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.
Technical Stack
- Docker
- Kubernetes
- AWS
- Terraform
Team & Environment
You will be the Engineering Manager for the Identity Verification ML team, leading two sub-teams: Machine Learning and Full-Stack Engineering, within a single cross-functional team.
Work Mode
This role follows a hybrid work model and is open to candidates based in Europe.
SEON is an equal opportunity employer. We do not make an employment decision based upon race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
