Data Solutions Engineer
3 weeks ago
About Voia:
Voia is pioneering the use of AI, 3D technologies, and real-time rendering to redefine virtual production and video creation. Our platform empowers creators to produce high-quality, Hollywood-grade video content.
Position Overview:
We're seeking an experienced Data Solutions Engineer to work at the intersection of synthetic data generation, video processing, and 3D data handling. In this role, you will design and implement pipelines to generate high-quality, synthetic datasets tailored to neural rendering and video generation tasks. Your contributions will directly impact the realism and performance of our generative video technologies.
Key Responsibilities:
- Design and implement scalable data pipelines for synthetic dataset generation, ensuring optimal performance in machine learning tasks.
- Work closely with AI researchers to process 3D video and image data, training 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.
- Implement synthetic data generation tools for producing various video scenarios and 3D environments.
Qualifications:
- Extensive experience in 3D data processing, including handling formats like OBJ, FBX, or point clouds.
- Familiarity 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 Skills:
- 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.
Why Choose Voia:
We offer an innovative and creative environment where AI is at the heart of what we do. As part of a fast-growing startup, you will have the opportunity to directly influence the future of video production technology. We value curiosity, collaboration, and pushing boundaries in what's possible with AI.
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