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.

Requirements

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.

Benefits

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
Daily in-office lunch through UberEats
Commuter benefits
Remote Fridays
Happy Hours and other local events

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

multi-modal learningdeepfake detectionaudio-visual classificationaudio-language reasoningPythonPyTorchdeep learning modelsGPU-enabled cloud computeAWSGCP

Soft Skills

collaborationindependent researchcommunication

Certifications

PhD