3+ years of experience with deep learning models in PyTorch, including production deployment.
MS or PhD in computer science, electrical engineering, or related field, or equivalent research experience.
Strong foundation in machine learning with experience in model building and evaluation.
Knowledge of computer vision techniques, including CNNs and vision transformers.
Experience in synthetic media detection, image/video forensics, audio spoofing detection, or generative models.
Ability to critically analyze research and effectively communicate findings.
Demonstrated research and engineering skills through production systems or publications.
Responsibilities
Investigate AI methods for detecting synthetic media and preventing fraud.
Reproduce and assess research to identify viable approaches.
Design experiments and evaluate models using realistic data.
Collaborate with engineering to implement successful research ideas into production.
Analyze failure cases to enhance model reliability and efficiency.
Document methods and findings, contributing to technical writing.
Prioritize research based on practical applications and needs.
Benefits
Performance bonus included in the compensation package.
Equity options ranging from 0.25% to 1%.
Visa sponsorship available for eligible candidates.
Full Job Description
About the Role
Join a small research and engineering team at a digital trust and security company. You will investigate methods for detecting synthetic media and digital fraud, then help translate effective research into production software. What You'll Do
Investigate AI methods for synthetic media detection, media forensics, and fraud prevention.
Read and reproduce research, then assess which approaches are worth pursuing.
Design experiments, establish baselines, and evaluate models on realistic data.
Implement research ideas and collaborate with engineering to bring successful approaches into production.
Analyze failure cases and improve model reliability, generalization, and computational efficiency.
Document methods and findings, contribute to technical writing, and prioritize research around practical needs.
What We're Looking For
At least 3 years of experience training deep learning models in 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 and vision transformers, and the tradeoffs between them 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, communicate findings clearly, and turn research into shipped software.
Evidence of research and engineering ability through production systems, publications, open-source work, or substantial applied projects.
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
