Synthetic Data Generation Specialist

Responsibilities: -

• Design, develop, and optimize advanced simulation and data generation models using generative AI techniques (GANs, Diffusion Models, VAEs)
• Create and program diverse, realistic virtual scenarios and environments for generating synthetic for various use cases Integrate synthetic datasets with real-world data to train, test, and validate AI perception, planning, and control algorithms.
• Develop automated pipelines for labelling and annotating synthetic data with high accuracy.
• Validate synthetic data quality through statistical analysis.
• Collaborate with data scientists, ML engineers, and domain experts to ensure technical validity and relevance of synthetic datasets.

Experience: -

? 8+ Years

Location: -

? Waukesha, WI

Mandatory skills

• Bachelors/Master's degree or PhD in Computer Science, or related field.
• 3+ years of hands-on experience with synthetic data generation using deep learning frameworks (PyTorch, TensorFlow)
• Proficiency in Python and relevant ML/CV libraries (NumPy, OpenCV, scikit-learn, PIL/Pillow)
• Strong understanding of Computer Vision, Image processing, and 3D graphics rendering pipelines.
• Strong analytical and problem-solving skills with ability to evaluate data quality quantitatively and qualitatively.