Multimodal Engineer at xAI

Compensation

$180,000 – $440,000/yr

Setup: Remote
Location: Palo Alto, California
Type: Full-time
Posted: Mar 20, 2026

Description

xAI is seeking a Multimodal Engineer to join their Imagine Model Team. The successful candidate will be responsible for developing advanced AI experiences beyond text, focusing on high-fidelity understanding and generation across image, video, and audio modalities. Key responsibilities include data curation, modeling, training, inference serving, and product integration, collaborating closely with product teams to enhance model frontiers and deliver exceptional user experiences.

Required Skills

Neural Network Capabilities
Data-Driven Experiment Designs
Large-Scale Distributed ML Systems
End-to-End User Experience

Additional Information

Required Previous Experiences: Leading studies that significantly improve neural network capabilities and performance through better data or modeling.
Experience in data-driven experiment designs, systematic analysis, and iterative model debugging.
Experience developing or working with large-scale distributed machine learning systems.
Preferred Qualifications: Experience in SFT, RL, evals, human/synthetic data collection, or agentic systems.
Proficiency in Python, JAX/XLA, PyTorch, Rust/C++, Spark, Ray, and related large-scale frameworks.
Domain expertise in multimodal applications such as graphics engines, rendering techniques, image/video understanding and generation, world models, real-time simulation, or controllable/long-horizon visual content creation (audio/speech processing or music/audio generation experience is a plus where it supports video).
Experience with agentic RL training, controllable/long-horizon generation, or multimodal agents that reason and act across modalities (especially in visual domains).