We're creating computer-use agents capable of mastering any task on a digital desktop: navigating interfaces, executing complex workflows, reasoning step-by-step, and delivering results better, faster, and more reliably than even expert humans.

Our team builds and owns the entire agent lifecycle end-to-end:

• Designing architectures
• Collecting and curating high-quality interaction data
• Pre-training foundation models
• Mid-training, fine-tuning, RL and post-training recipes
• Build and iterate on high quality evals
• Deploy and improve the flywheel

Who you are

Exceptional engineers who own work end-to-end and thrive in meritocratic environments. You're obsessed with quality, rigor, and first-principles thinking — you write clean, efficient code, run tight experiments, and hold yourself (and your teammates) to the highest standards.

You have deep expertise or hands-on experience in one or more of:

• Pushing the boundaries of multimodal foundation models (vision + language + action/computer-use traces)
• Crafting pre-training and mid-training data recipes — especially for multimodal and agentic data — turning raw interaction traces, synthetic data, and web-scale corpora into high-signal flywheels that unlock breakthrough capabilities
• Building robust infrastructure and frameworks that power the full agent lifecycle: scalable data pipelines, distributed training systems, eval harnesses, and monitoring tools
• Applying  RL techniques — including online/offline RL, reward modeling, and post-training recipes — to train agents that generalize across complex, long-horizon computer-use tasks reliably

Interview Process

After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, the process is:

1. 15-min call with a team member.
2. 3 Technical onsite interviews.
3. 1 meet-the-team interview to present your most exceptional work and have a chance to talk to the team.
4. Offer.

Our goal is to finish the main process within one week. Final interviews will be conducted in person.

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.