About Our Company

We are an innovative security platform pioneering comprehensive deepfake detection. As a graduate of Y Combinator and Comcast NBCUniversal LIFT Labs alumni, and supported by DCVC, We're at the forefront of proactive deepfake and AI-generated content detection. Our technology is developed by a seasoned leadership team with over 20 years of experience in applied research, specializing in machine learning, data science, and cybersecurity.

With cutting-edge models designed to combat current and future fabrication techniques, We are the premier solution for detecting and deterring fraudulent text, audio, and visual content. We collaborate with government agencies and enterprise clients to bolster security measures and combat fraud effectively.

Requirements

Responsibilities

• Address scalability challenges by optimizing neural networks, particularly during inference.
• Implement robust security measures to protect data, models (obfuscation), and infrastructure.
• Establish automated testing protocols for quality assurance in machine learning models.
• Assist in creating technical documentation to ensure reproducibility as necessary.
• Collaborate closely with both the AI and Engineering teams.

About You

• Bachelor's or Master's degree in Computer Science or a related field.
• 3 years of industry experience with ML/DL models and ML Ops.
• Strong foundation in machine learning and data science.
• Proven ability to collaborate effectively with cross-functional teams.
• Experience in optimizing scalability within machine learning infrastructure.
• Knowledge of security best practices and regulatory compliance.
• A continuous learning mindset with awareness of emerging ML technologies.
• Proficiency in CI/CD concepts within machine learning workflows.
• Skilled in version control and automated testing.
• Expertise in real-time monitoring for deployed models.

Benefits

• Competitive salary and bonus incentives.
• Comprehensive health, dental, and vision insurance plans.
• Flexible work hours and remote work options.
• Generous paid time off and company holidays.
• Professional development opportunities, including conferences and workshops.
• Employee stock options and retirement savings plans.
• Collaborative and inclusive work culture with regular team-building events.

Compensation Range: $170,000 - $220,000