AI and Synthetic Data Engineer

• Role: AI and Synthetic Data Engineer
• Location: Remote
• FTE

Salary - $150k/Annum

• Job Description
• Develop synthetic-data pipelines and AI experiments for perception and physical-AI use cases using simulated industrial environments and sensor outputs.

• Key responsibilities
• • Generate labeled image, video, point-cloud, depth, segmentation, pose, and scene data from simulation.
• • Design domain randomization, scenario coverage, class balancing, and dataset versioning.
• • Train and evaluate perception models using synthetic, real, and blended datasets.
• • Measure domain gap and improve transfer through simulation, augmentation, adaptation, and targeted real data.
• • Automate experiments, metadata capture, quality checks, and reproducible releases.

• Required experience and skills
• • Computer vision or ML engineering plus synthetic-data experience.
• • Python and deep-learning frameworks.
• • Understanding of labels, ground truth, dataset bias, evaluation, and experiment reproducibility.

• Preferred experience
• Omniverse Replicator, Isaac Sim, diffusion models, YOLO/RF-DETR, segmentation, point clouds, domain adaptation, or MLOps.