Synthetic Data Generation Specialist

Synthetic Data Generation Specialist

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.

• 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

• 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