About the Role

Join a small research and engineering team at a digital trust and security startup. You will develop and evaluate AI methods for synthetic media detection and fraud prevention, translating research into reliable product capabilities.

What You'll Do

• Investigate methods for deepfake detection, synthetic media analysis, and fraud prevention.

• Read and reproduce research, then identify approaches with potential for practical development.

• Design experiments, establish baselines, and evaluate models on realistic data.

• Implement research ideas and collaborate with engineering to bring effective methods into production.

• Analyze failures and improve model reliability, generalization, and computational efficiency.

• Document findings and contribute to research papers and technical writing.

• Work with team leadership to prioritize research around practical customer problems.

What We're Looking For

• At least 3 years of experience training deep learning models with PyTorch, including taking at least one model from concept to production.

• An MS or PhD in computer science, electrical engineering, or a related field, or equivalent research experience.

• Strong machine learning foundations and experience building, training, and evaluating models.

• Computer vision knowledge, including CNNs, vision transformers, and their tradeoffs at small parameter counts.

• Experience in at least one relevant area: synthetic media detection, image or video forensics, audio spoofing detection, generative models, or adversarial robustness.

• Ability to critically assess research papers, design experiments, and clearly communicate findings.

• Evidence of research and engineering ability through shipped systems, publications, open-source contributions, or substantial applied projects.

• Experience deploying models with real-world latency and reliability constraints is valuable.

• Comfort taking ownership of open-ended work in a small team.

Compensation & Benefits

Base salary is flexible based on experience and candidacy. The package includes a performance bonus and 0.25% to 1% equity. Visa sponsorship is available.

Location

On-site in New York, New York.