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Reality Defender is a groundbreaking security platform offering comprehensive deepfake detection. A Y Combinator graduate, Comcast NBCUniversal LIFT Labs alumni, and backed by DCVC, Reality Defender's proactive deepfake and AI-generated content detection technology is developed by a leadership team with over 20 years of experience in applied research at the intersection of machine learning, data science, and cybersecurity.
With models defending against present and future fabrication techniques, Reality Defender is the best way to detect and deter fraudulent text, audio, and visual content, partnering with government agencies and enterprise clients to enhance security and detect fraud.
Address scalability challenges via neural network optimization esp. at inference time.
Institute robust security measures to safeguard data, models (obfuscation), and infrastructure.
Implement automated testing for quality assurance in ML models.
Assist with technical documentation for reproducibility as needed
Collaborate with both the AI and Engineering teams
BS in Computer Science or related field
2 years industry experience
Strong foundation in machine learning and data science
Proven collaboration skills with cross-functional teams
Scalability optimization in machine learning infrastructure
Knowledge of security practices and regulatory compliance
Continuous learning mindset and awareness of emerging ML technologies.
Nice to Have
Experience with CI/CD concepts in machine learning workflows
Proficient in version control and automated testing
Real-time monitoring expertise for deployed models