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Applied Scientist (Core)

Remote: 
Full Remote
Contract: 
Experience: 
Expert & Leadership (>10 years)
Work from: 
New York (USA), United States

Offer summary

Qualifications:

PhD or relevant industry experience, Experience with top AI research publications, In-depth understanding of deep learning, Excellent software development skills.

Key responsabilities:

  • Improve classification performance of detectors
  • Build techniques for classifier reliability
  • Implement and evaluate deep learning ideas
  • Collaborate with scientists and engineers
Reality Defender logo
Reality Defender Computer Hardware & Networking Startup https://realitydefender.com/
11 - 50 Employees
See more Reality Defender offers

Job description

About Reality Defender

Reality Defender provides accurate, multi-modal AI-generated media detection solutions to enable enterprises and governments to identify and prevent fraud, disinformation, and harmful deepfakes in real time. A Y Combinator graduate, Comcast NBCUniversal LIFT Labs alumni, and backed by DCVC, Reality Defender is the first company to pioneer multi-modal and multi-model detection of AI-generated media. Our web app and platform-agnostic API built by our research-forward team ensures that our customers can swiftly and securely mitigate fraud and cybersecurity risks in real time with a frictionless, robust solution.

Youtube: Reality Defender Wins RSA Most Innovative Startup

Why we stand out:

  • Our best-in-class accuracy is derived from our sole, research-backed mission and use of multiple models per modality

  • We can detect AI-generated fraud and disinformation in near- or real time across all modalities including audio, video, image, and text.

  • Our platform is designed for ease of use, featuring a versatile API that integrates seamlessly with any system, an intuitive drag-and-drop web application for quick ad hoc analysis, and platform-agnostic real-time audio detection tailored for call center deployments.

  • We’re privacy first, ensuring the strongest standards of compliance and keeping customer data away from the training of our detection models.

Role and Responsibilities
  • Work with scientists to improve classification performance of deepfake detectors across all modalities (image, video, audio, and text)

  • Build techniques to assess and improve deep learning classifier reliability, including unsupervised bias and adversarial robustness modeling. Independently implement and evaluate ideas on a modern deep learning stack (Python, PyTorch, and GPU-enabled cloud compute).

  • Collaborate with scientists and engineers across the organization.

About You
  • PhD or relevant industry experience in computer science, machine learning, or a related field.

  • You have implemented and/or published papers at top AI research venues NeurIPS, ICLR, ICML, etc. In-depth understanding of deep learning research.

  • Excellent software development skills.

  • Team player with a positive attitude and good communication skills.

Required profile

Experience

Level of experience: Expert & Leadership (>10 years)
Industry :
Computer Hardware & Networking
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Verbal Communication Skills
  • Analytical Thinking

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