About the Role
Handle data generation, processing, and optimization for training neural rendering models and generative video models, supporting high-fidelity video content creation.
Requirements
The Role
We are seeking a skilled Data Engineer to work at the intersection of synthetic data generation, video processing, and 3D data handling. In this role, you will be responsible for generating synthetic datasets, processing complex 3D environments, and preparing high-quality data for training neural rendering models and diffusion models. Your contributions will directly impact the realism and performance of our generative video technologies, making high-fidelity content creation more accessible and efficient.
Key Responsibilities
Design and implement pipelines to generate synthetic datasets tailored to neural rendering and video generation tasks, with a focus on scalability and realism
Work closely with AI researchers to process 3D video and image data to train diffusion models and neural rendering systems
Develop and maintain data augmentation techniques to enhance the variability and quality of synthetic data used in training
Optimize data pipelines for high-dimensional 3D and video data, ensuring seamless integration with neural network models
Collaborate with the R&D team to create workflows that support real-time data processing for rendering high-quality 3D scenes
Manage data collection, cleaning, and preprocessing to ensure optimal performance in machine learning tasks, with a focus on 3D modeling, camera tracking, and virtual environment rendering
Implement synthetic data generation tools for producing various video scenarios and 3D environments, allowing for enhanced training of generative models
Required Qualifications
Familiarity with 3D data processing, including handling formats like OBJ, FBX, or point clouds
Experience with deep learning frameworks (TensorFlow, PyTorch) and cloud platforms (AWS, GCP, Azure)
Proficiency in programming languages such as Python
Excellent problem-solving skills, especially in optimizing data for training machine learning models
Preferred Qualifications
3+ years of experience in data engineering, machine learning data processing, or computer vision
Proven experience with synthetic data generation and data augmentation techniques
Experience with diffusion models, GANs, or neural radiance fields (NeRFs) for generative video tasks
Knowledge of computer graphics and real-time rendering engines (Unreal, Blender) is a plus
Strong understanding of neural rendering techniques, diffusion models, and how large datasets impact their performance
About the Company
Voia’s AI platform revolutionizes professional video production. We combine 3D rendering with predictive and generative AI to enable video makers to create Hollywood-grade visuals. Our technology integrates iPhone-based capture with cloud AI processing, allowing for live-action performance inside cinematic virtual environments.
Send your resume, portfolio of relevant Python/Blender projects, and a brief introduction to jobs@voia.com. Please include "Blender Plugin Developer - [Your Name]" in the subject line.