We are seeking a Simulation Artist who will play a key role in creating, optimizing, and refining high-quality 3D models and simulations for AI-driven applications. In this role, you will collaborate closely with our AI engineers and technical teams to digitize real-world objects, fine-tune synthetic data generation, and contribute to the development of accurate, scalable datasets for training AI models with impact.
Responsibilities:
- Create and optimize detailed 3D models of real-world objects, ensuring high levels of accuracy and realism.
- Create procedural modelling pipelines. Designing a realistic 3D object is one thing, but making it randomisable in shape, texture, material, etc. is another challenge!
- Develop, fine-tune, and maintain synthetic data generation pipelines to enhance AI model training and testing.
- Collaborate with AI teams to ensure that generated data meets the required quality and diversity standards for machine learning models.
- Improve existing simulation workflows, focusing on scalability, automation, and seamless integration with AI pipelines.
- Design and implement efficient processes for handling large-scale 3D datasets, including data management, version control, and experiment tracking.
- Ensure the fidelity and consistency of synthetic datasets by performing validation and quality checks.
- Work closely with engineers and developers to integrate simulation assets and synthetic data into production AI models for real-time inference and decision-making.
- Continuously explore new tools, techniques, and technologies to improve 3D modeling and synthetic data generation processes.
The ideal candidate is passionate about 3D modeling, simulation, and has a keen interest in contributing to sustainable AI advancements through high-quality synthetic data creation.
