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

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Must 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

  • 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

On-site in New York, New York, United States.

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