NV, United States; Las Vegas, NV, United States and 4 more · 3d ago
Applied AI Researcher
Clera · posted yesterdayFresh: apply early
Open to candidates in United States
Full-time · Mid-level
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What this job asks for
Extracted by RemoteHuntMust have
- •3+ years training deep learning models in PyTorch
- •MS or PhD in CS, EE, or related field
- •Strong ML foundations
- •Computer vision knowledge
- •Experience in synthetic media detection or forensics
- •Ability to assess research and ship software
Nice to have
- •Experience with generative models
- •Experience with adversarial robustness
Tools and technologies
PyTorch, CNNs, vision transformers
Read the full posting
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
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Investigate AI methods for synthetic media detection, media forensics, and fraud prevention.
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Read and reproduce research, then assess which approaches are worth pursuing.
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Design experiments, establish baselines, and evaluate models on realistic data.
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Implement research ideas and collaborate with engineering to bring successful approaches into production.
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Analyze failure cases and improve model reliability, generalization, and computational efficiency.
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Document methods and findings, contribute to technical writing, and prioritize research around practical needs.
What We're Looking For
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At least 3 years of experience training deep learning models in PyTorch, including taking at least one model from concept to production.
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An MS or PhD in computer science, electrical engineering, or a related field, or equivalent research experience.
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Strong machine learning foundations and experience building, training, and evaluating models.
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Computer vision knowledge, including CNNs and vision transformers, and the tradeoffs between them at small parameter counts.
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Experience in at least one relevant area: synthetic media detection, image or video forensics, audio spoofing detection, generative models, or adversarial robustness.
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Ability to critically assess research papers, design experiments, communicate findings clearly, and turn research into shipped software.
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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
On-site in New York, New York, United States.
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