World Models Machine Learning Expert

This is a remote, project-based role for PhD-level researchers with deep expertise in world models and generative AI. You will complete tasks at the frontier of world model research — including model development, evaluation, and research tasks spanning video prediction, environment simulation, planning, and learned latent world representations. 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. This position offers exceptional pay, exposure to cutting-edge AI research problems, and a strong addition to your research portfolio.

PhD-level researchers; Deep expertise in world models; Generative AI; Video prediction; Environment simulation; Planning; Learned latent world representations Responsibilities: Design, build, and evaluate world models for applications spanning video prediction, environment simulation, and agent planning; Develop and experiment with latent space representations, dynamics models, and imagination-based planning approaches; Conduct rigorous empirical evaluations Benefits: Flexible Time Commitment; Startup Exposure; Exceptional Pay; Portfolio Building; Professional Growth