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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates deep expertise in Computer Vision, Mathematics, and Statistics, with a strong focus on Identity Verification and Fraud Prevention. Capable of leading independent research, designing rigorous experiments, and effectively communicating findings to diverse audiences.
Highest-signal resume keywords
Deep Expertise In Computer VisionResearch In Identity VerificationPhD In Computer ScienceExperience With Noisy DataPeer-Reviewed Publications
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Image ForensicsFace AnalysisGenerative ModelsStatistical InferenceOptimizationApplied MathematicsFraud DetectionAdversarial BehaviorOut-Of-Distribution DetectionExperimental Design
Soft Skills
Clear CommunicationIndependent Research Leadership
Certifications & Qualifications
PhD In Computer ScienceMS In Related Technical Field
Industry Keywords
Fraud PreventionBiometricsDeepfakesPresentation AttacksAdversarial Robustness
About the role
Key responsibilities & impact- Lead research on open problems in identity verification and fraud prevention using focused experiments
- Develop methods to detect manipulated documents, AI-generated images, and emerging fraud attacks
- Evaluate model reliability across different populations
- Uncover patterns in verification data that reveal fraud and distinguish signal from noise
- Calibrate model confidence and measure fraud events with limited labeled data
- Partner with ML and engineering teams to turn research prototypes into production models
- Publish at venues such as CVPR, NeurIPS, and USENIX Security
- Stay active in the research community
Requirements
What you’ll need- Deep expertise in computer vision, mathematics and statistics, or identity verification and fraud prevention
- Computer vision research in image forensics, face analysis, generative models, or representation learning
- Strong foundation in probability, statistical inference, optimization, or applied mathematics, with experience applying it to empirical research
- Experience researching identity verification, biometrics, fraud detection, out-of-distribution detection, adversarial behavior, or closely related security problems
- A PhD in Computer Science, Machine Learning, Mathematics, Statistics, or a related technical field is strongly preferred; candidates with an MS and an exceptional research record will also be considered
- Demonstrated record of peer-reviewed publications in relevant conferences or journals, with substantive contributions to the research
- Ability to independently lead research, design rigorous experiments, and use negative or unexpected findings to guide next steps
- Clear communication of experimental design, findings, and limitations to technical and non-technical audiences
- Research on deepfakes, presentation attacks, or adversarial robustness
- Experience with noisy, imbalanced real-world data
- Experience shipping ML research to production
Benefits
Comp & perks- Equity
- Medical insurance
- Dental insurance
- Vision insurance
- 3% 401(k) contribution
- Unlimited PTO
- Quarterly mental health days
- Family planning benefits
- Professional development stipend
- Wellness benefits
- Private medical insurance for full-time UK employees
- Dental insurance for full-time UK employees
- 6% employer pension contribution for full-time UK employees
- Unlimited PTO for full-time UK employees
- Monthly wellness stipend for full-time UK employees
- Professional development stipend for full-time UK employees
- Co-working stipend for full-time UK employees