Product Security Engineer, Multimodal & Generative AI
Luma AI
AWSCloudDockerGoogle Cloud PlatformKubernetesPython
Job Level
Senior
Tech Stack
NumpyPandasPythonPyTorchScikit-LearnSQLTensorflow
About the role
- Support fraud and risk-as-a-service team in gaming, gambling and skills-based games.
- Evaluate current risk and fraud conditions through data analyses and visualizations.
- Propose innovative solutions to detect and prevent fraud and payment risks.
- Build and assess statistical models and data architecture for advanced fraud detection.
- Perform deep exploratory data analysis (EDA) on transactional and user behavior data to uncover fraud patterns.
- Design, develop and refine learning models to prevent payment fraud, consumer abuse, and optimize authentication and conversion rates.
- Build dashboards and automated monitoring for fraud risk indicators for stakeholders.
- Tune decisioning rules and model thresholds for auto-approval systems.
- Design and test new risk models; conduct experimentation and model validation.
- Partner with product, engineering, and operations to deploy models into production.
- Support incident response and update models via post-incident learnings.
- Present findings to senior leadership to shape risk policies and product roadmap.
- Mentor junior team members and promote data science and ML best practices.
Requirements
- 5+ years of experience building data science/machine learning products, preferably with a focus on fraud/risk.
- Strong statistical and machine learning foundations, including anomaly detection and classification.
- Excellent communication skills with experience presenting to senior leadership.
- Entrepreneurial and innovation mindset to advance next-gen technology and capabilities.
- Prior experience in gaming, gambling, fintech, or high-risk industries is a plus.
- Proficiency in Python (pandas, NumPy, scikit-learn, TensorFlow/PyTorch) and SQL.
- Working language: English (written and spoken) is required.
