Jobs at FALSIFIND

Founding Machine Learning Engineer – Deepfake Detection Location: Remote | Commitment: Part-time or Full-time | Company: FALSIFIND About Us: FALSIFIND is on a mission to protect the global financial system from AI-driven impersonation. By authenticating voices, images, and identities at scale, we help institutions safeguard assets, ensure compliance, and preserve trust in the digital economy. We’re building cutting-edge detection technology—join us at the ground floor and shape the future of digital trust. The Role: We’re looking for a Founding Machine Learning Engineer to design and deploy detection systems that identify synthetic media with speed and accuracy. This is an opportunity to work at the frontier of AI security, tackling one of today’s most urgent challenges. What You’ll Do: Lead the ML pipeline: data prep, training, evaluation, inference. Experiment with state-of-the-art speech, image, and video models. Build scalable APIs and dashboards for enterprise use. Optimize real-time inference for production environments. Collaborate with leadership on scope, milestones, and roadmap. What We’re Looking For: Strong background in ML (audio, image, or video detection/classification). Proficiency with Python, Java, SQL. Experience in preprocessing, feature extraction, and cloud deployment (AWS/GCP/Azure). Problem-solving, adaptable, and collaborative mindset. Bonus experience in deepfake detection, anti-spoofing, real-time inference, SaaS/ML productization, or security/fraud prevention. Compensation: Equity - meaningful founding ownership stake with substantial upside. Salary - competitive package introduced as the company scales (post-funding). Why Join Us: Impact - Shape solutions against one of the most urgent threats in AI. Innovation - Work on cutting-edge multimodal detection technologies. Growth - Build expertise at the intersection of ML and security. Collaboration - Join a team that values creativity, speed, and integrity.