Applied AI Researcher
Key details
- Location
- New York City, NY, United States
- Work style
- Remote
- Level
- Mid level
- Job type
- Full-time
- Experience
- 3–6 yrs
- Function
- Data & ML
- Focus area
- AI / ML
- Visa sponsorship
- Available
- Posted
- 5h ago
Skills
About the role
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.
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