Image Generation Machine Learning Expert

This is a remote, project-based role for machine learning researchers and engineers with deep expertise in image generation and generative modeling. You will complete tasks at the frontier of generative AI — including model development, fine-tuning, evaluation, and research tasks applied to diffusion models, GANs, autoregressive image models, and related architectures. Work is over the next 2–3 weeks, asynchronous, and assigned on a project-by-project basis, with an expected commitment of 10–20 hours per week for the projects you accept.

Published researcher with at least one first-author publication in a peer-reviewed venue (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, or equivalent); Master's or PhD in Machine Learning, Computer Vision, Computer Science, or a related quantitative field; Demonstrated expertise in image generation, generative modeling, or closely related areas of deep learning. Responsibilities: Design, build, and evaluate state-of-the-art image generation models including diffusion models, GANs, VAEs, and autoregressive approaches; Fine-tune and adapt pre-trained generative models for specific domains, styles, and downstream applications; Conduct rigorous evaluation of image generation quality using perceptual, statistical, and task-specific metrics; Experiment with conditioning mechanisms, guidance techniques, and controllable generation approaches; Document methodologies, experimental results, and technical approaches clearly and reproducibly. Benefits: Flexible Time Commitment; Startup Exposure; Exceptional Pay; Portfolio Building; Professional Growth.