xAI Expands Imagine Team
xAI is ramping its Imagine team and hiring Members of Technical Staff focused on image/video generation and world modeling—roles posted publicly via Greenhouse links shared by an engineer. That hiring push spotlights demand for research-to-product engineers in generative models. (x.com)
xAI has posted multiple Member of Technical Staff listings tied to its Imagine/multimodal work, including “Member of Technical Staff, Image Generation” (job-boards.greenhouse.io, ), “Member of Technical Staff - Multimodal Understanding” (job-boards.greenhouse.io, ), and a “Grok Imagine” MTS listing (job-boards.greenhouse.io, ). Those listings assign responsibilities across both pretraining and post-training work, explicitly naming data curation, tokenizer training, large-scale pretraining, SFT/RL post-training, and end-to-end product integration as part of the role scope (job-boards.greenhouse.io, ). Several postings require experience with large-scale distributed ML systems and data-driven experiment design, and they note that experience leading research that materially improves neural-network capability is an “ideal” qualification (job-boards.greenhouse.io, ). The Image Generation posting specifies the team’s tech stack as Python, JAX, and Rust and describes an interview pipeline that begins with a 15-minute phone screen followed by a main process of four technical interviews including coding and a project deep-dive presentation (job-boards.greenhouse.io, ). xAI’s public careers listing continues to show multiple MTS-level roles across product, model, and infrastructure teams, while the company’s product pages describe Grok as offering image and video generation capabilities that the Imagine roles are intended to advance (x.ai, x.ai/careers/open-roles, ).
