Research Engineer, Synthetic Data Generation
Tasks
- Build synthetic image generation pipelines using deep generative models
- Communicate technical research through design reviews and presentations
- Create CV and ML solutions for AR VR model training
- Design data collection protocols and quality control for datasets
- Develop conditional image generation with metadata and masks
- Drive cross functional collaboration for simulation and data systems
- Implement computer vision algorithms and deep learning models in C plus plus and Python
- Innovate synthetic data generation for image realism
- Mentor ML engineers and onboard interns and contractors
- Optimize machine learning models for performance and scalability
- Set strategic planning OKRs and roadmaps for synthetic data R and D
Perks/Benefits
Skills/Tech-stack
3D Geometry | Avatar Rendering | C++ | Computer Graphics | Computer Vision | Conditional Image Generation | Data Collection Protocols | Data Generation | Data Quality | Data collection | Data quality control | Deep learning | Generative Models | Image Generation | Image Processing | Image Synthesis | Machine Learning | Pose Estimation | Procedural Generation | Python | Quality Control | Sensor fusion | Synthetic Data Generation | Synthetic data
Education
Regions
Countries
States
Cities
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