Zentrais · 6 hours ago
Deep Learning Engineer – Generative Video
United States
Part-time
Remote
Mid, Senior LevelZentrais is seeking a highly skilled Deep Learning Engineer to develop a proprietary AI system for face replacement in video footage. The role involves designing and developing the core face replacement pipeline while ensuring compliance with entertainment use regulations.
Internet
Responsibilities
Design and develop the core face replacement pipeline
Detect and track faces across video frames (multi-shot scenes)
Perform facial reenactment / motion transfer from source to target
Blend replaced face seamlessly into the target footage
Optimize for realistic output (color match, lighting, motion blur)
Build basic interface for uploading and processing video clips
Support export of processed scenes (mp4 / ProRes / etc.)
(Optional) Advise on GPU deployment and scaling
Qualification
Required
Strong Python background
Deep learning frameworks (PyTorch or TensorFlow)
Experience with GANs, Diffusion Models, or Facial Reenactment
Familiarity with OpenCV, ffmpeg, CUDA, and video processing
Prior work with computer vision on faces
Experience with tracking, keypoints, and temporal consistency
Experience optimizing inference pipelines on GPU hardware
Preferred
Experience with DeepFaceLab, FaceSwap, or similar frameworks
VFX / video post-production familiarity
Web or desktop UI/UX for operator tools
MLOps for GPU deployment (Docker, ONNX, TensorRT)
Company
Zentrais
Zentrais is building The Integrity Economy. A new standard for how humans and AI think, decide, and act together — judged by behavior, not claims.
Founded in 2025
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase