About xAI

xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

About the Role

The omni team at xAI creates magical AI experiences beyond text, enabling understanding and generation of content across various modalities, including image, video, and audio.

We are building next-generation multimodal agents that reason, act, and communicate through images as naturally as text. In many real-world scenarios, images are a more intuitive and efficient way to convey information than language alone. This role focuses on advancing image generation models with agentic behavior and reinforcement learning, enabling higher factuality, controllability, and seamless integration into multimodal conversational systems.

You will work on core research and production systems that allow models to decide when and how to generate images, improving Grok multimodal responses where images meaningfully augment or replace text.

Tech Stack

• Python

• JAX

• SGLang

• Spark

• Ray

Location

The role is based in the SF Bay Area, or Seattle. Candidates are expected to be located near the Bay Area or Seattle or open to relocation.

Focus

• Developing agentic planners for image generation.

• Designing and collecting human/synthetic data; developing data generation techniques, e.g., captioning.

• Building evals and reward models for image generation.

• Studying training recipes for advancing image / multi-image understanding/generation and agent training.

Ideal Experience

• Track record in leading studies that significantly improve the capability and performance of neural networks, whether through better data or better modeling.

• Experience in data-driven experiment designs and systematic analysis for iterative model debugging.

• Experience in SFT, RL, evals, and human/synthetic data.

• Experience in agentic RL training models is considered an advantage.

Interview Process

After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews:

• One-on-one discussion & coding interviews (three meetings total)

• Project deep-dive: Present your past exceptional work and your vision with xAI to a small audience.

Every application is reviewed by a member of our technical team. All interviews will be conducted via Google Meet.

Annual Salary Range

$180,000 - $440,000 USD

Benefits

Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

*xAI is an equal opportunity employer. For details on data processing, view our *Recruitment Privacy Notice.