Applied Scientist Intern

 Posted 3 months ago
     
 $5000 - $7000 per month
  
2-5 years experience
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AI Summary

The intern will conduct cutting-edge research focused on investigating and proposing new methods for detecting generative multi-modal content across audio and vision modalities. This involves performing research on multi-modal deepfake detection tasks, collaborating with the team, and writing up results for internal reports and academic submissions.

Who we are.

Reality Defender is an award-winning cybersecurity company helping enterprises and governments detect deepfakes and AI-generated media. Utilizing a patented multi-model approach, Reality Defender is robust against the bleeding edge of generative platforms producing video, audio, imagery, and text media. Reality Defender's API-first deepfake detection platform empowers teams and developers alike to identify fraud, disinformation campaigns, and harmful deepfakes in real time.

Backed by world class investors including DCVC, Illuminate Financial, Y Combinator, Booz Allen Hamilton, IBM, Accenture, Rackhouse, and Argon VC, Reality Defender works with leading enterprise clients, financial institutions, and governments in order to ensure AI-generated media is not used for malicious purposes.

Youtube: Reality Defender Wins RSA Most Innovative Startup

The Applied Scientist Internship.

The 3-month internship is designed for current PhD students and candidates to partner with Reality Defender's AI team to conduct cutting-edge research and publish peer-reviewed papers. Your primary collaborators will be Surya Koppisetti and Yi Zhu, who will guide and advise your efforts within multi-modal deepfake detection. This internship can be performed remotely, although you're welcome to work from our HQ in New York City.

What you'll do.

  • Investigate and propose new methods for detecting generative multi-modal content, spanning audio and vision modalities.

  • Perform research on multi-modal deepfake detection and reasoning tasks.

  • Collaborate with researchers in the team.

  • Write up results of research for internal reports and submission to academic journals/workshops.

  • Independently implement and evaluate ideas on modern deep learning stack - Python, PyTorch, and GPU-enabled cloud compute, like AWS/GCP.

Who you are.

  • PhD student in a relevant technical field, preferably three or more years into the program

  • Experience in multi-modal learning, such as in audio-visual classification and audio-language reasoning.

  • Proficient in Python and in building deep learning models with PyTorch.

  • Published peer-reviewed research papers in reputable AI and speech venues, e.g. CVPR, NeurIPS, ACL, Interspeech.

  • Excited about Reality Defender's mission to build a best-in-class and comprehensive deepfake and AI-generated content detection platform.

  • Available to start in Spring 2026, for a minimum duration of 3 months.

What we offer.

Reality Defender offers the following benefits to all our employees, regardless of location:

  • Healthcare plans with 100% premium coverage for employees and partial coverage available for dependents

  • Dental and Vision plans with 100% premium coverage for employees and their dependents

  • Short/Long-term disability and life insurance plans with 100% premium coverage for employees

  • FSA/HSA and 401k programs

  • Equity compensation

  • 20 days of PTO per year

  • 12 weeks of Parental Leave

  • Learning and Development budget

  • Monthly wellness benefits

  • Annual company-sponsored offsite

For employees working from Reality Defender’s HQ in NYC, we offer the following benefits:

  • Daily in-office lunch through UberEats

  • Commuter benefits

  • Remote Fridays

  • Happy Hours and other local events

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