Research Engineer, Synthetic Data Generation

What you'll do

• Develop and improve realistic, diverse, controllable image synthesis using generative models, computer graphics, or simulation.
• Lead development and launch of synthetic-data CV/ML solutions; optimize models for performance, scalability, and maintainability.
• Drive cross-functional planning and collaboration, and mentor engineers, scientists, interns, and contractors.

What they ask for

• PhD in Computer Science or a related field, with published projects in synthetic data generation, machine learning, deep learning, and/or computer vision.
• 5+ years of technical leadership experience driving medium- to large-scale cross-functional R&D projects focused on machine learning and computer vision.
• Experience implementing computer vision algorithms and deep learning models in C++ and Python, including hands-on work with 3D geometry, image processing, or sensor fusion.
• Peer-reviewed publications in computer vision or machine learning at venues such as CVPR, ICCV, ECCV, NeurIPS, ICLR, or equivalents.

Nice to have

• Experience in computer graphics, procedural generation, and avatar rendering.
• Work experience in the AR/VR industry.

Pay

USD $183,997/year to $257,000/year (base salary) + bonus + equity

Tools

C++, Python

AI focus

Synthetic data generation and AI-based image synthesis for AR/VR model training, including deep generative models and controllable image generation.