About the Role
Macrohard is building the future of intelligent agents that truly emulate - and surpass - human performance on computers.
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 novel model architectures
- Curating high-quality interaction data and iterating on the data flywheel
- Pre-training foundation models
- Designing and ablating data studies at different stages of training – Pre-training, Mid-training, RL and post-training
- Build and iterate on high quality representative evals
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) for computer use
- 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:
- 15-min call with a team member.
- 3 Technical onsite interviews.
- 1 meet-the-team interview to present your most exceptional work and have a chance to talk to the team.
- 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.
