Synthetic Data Generation Specialist

Synthetic Data Generation Specialist Experience - 8+ years of overall experience Location - Waukesha, WI What’s in it for you? The ideal candidate will bring strong expertise in Generative AI, Computer Vision, and simulation technologies to develop high-quality synthetic datasets that accelerate AI/ML model development. This role focuses on designing advanced simulation models, building diverse virtual environments, combining synthetic and real-world data for AI training, and developing automated data annotation pipelines. Experience in autonomous vehicle synthetic data generation is highly preferred. Responsibilities • Design, develop, and optimize advanced simulation and synthetic data generation models using generative AI techniques such as GANs, Diffusion Models, and VAEs • Create and program diverse, realistic virtual environments and scenarios to generate synthetic datasets across multiple use cases • Integrate synthetic data with real-world datasets to train, test, and validate AI perception, planning, and control algorithms • Develop automated pipelines for labeling and annotating synthetic data with high accuracy • Validate synthetic data quality using statistical and analytical methods • Collaborate with data scientists, ML engineers, and domain experts to ensure the technical accuracy and relevance of generated datasets Mandatory Skills • Bachelor’s / Master’s / PhD in Computer Science or a related field • 3+ years of hands-on experience in synthetic data generation using deep learning frameworks such as PyTorch or TensorFlow • Strong proficiency in Python and ML/CV libraries (NumPy, OpenCV, scikit-learn, PIL/Pillow) • Solid understanding of Computer Vision, image processing, and 3D graphics rendering pipelines • Strong analytical and problem-solving skills with the ability to evaluate data quality both quantitatively and qualitatively