About the Role
Design and implement computer vision algorithms to enhance identity proofing and fraud detection. Work with large-scale datasets to train, evaluate, and deploy models in production environments.
Responsibilities
- Develop computer vision models for identity validation tasks
- Process and analyze high-volume image and video datasets
- Optimize deep learning architectures for accuracy and speed
- Collaborate with engineering teams to integrate models into production systems
- Evaluate model performance using statistical and qualitative methods
- Stay current with advancements in computer vision and deep learning
- Improve data pipelines for training and inference
- Support A/B testing of model iterations
- Document methodologies and results clearly
- Troubleshoot model failures and data quality issues
- Work with cross-functional teams to define product requirements
- Contribute to research initiatives and technical publications
- Ensure models comply with privacy and security standards
- Participate in code and design reviews
- Use version control for model and data tracking
- Monitor deployed models for performance degradation
- Apply domain knowledge to real-world identity challenges
- Design experiments to validate model assumptions
- Leverage cloud infrastructure for scalable training
- Communicate technical findings to non-technical stakeholders
- Maintain reproducibility in model development workflows
- Support model explainability and auditability
- Contribute to automated testing frameworks
- Identify opportunities for data augmentation
- Work with minimal supervision on defined projects
Nice to Have
- PhD with focus on computer vision or machine learning
- Publications in computer vision or AI conferences
- Experience with real-time video analysis
- Familiarity with mobile platform constraints
- Knowledge of regulatory requirements for identity systems
- Experience with adversarial attacks and model robustness
- Background in biometrics or identity authentication
- Contributions to open-source machine learning projects
- Experience with on-device model deployment
- Understanding of cryptographic identity verification methods
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid work model
Team
Collaborative team focused on advancing machine learning and computer vision technologies
About the Team
The team builds machine learning systems that verify digital identities using behavioral and visual signals. Work involves close collaboration between research, engineering, and product teams to deliver scalable, accurate solutions.
What We Value
Technical excellence, clear communication, initiative, and a commitment to ethical AI. We value candidates who balance innovation with practical implementation and care about real-world impact.
Available for qualified candidates
