Pantera Capital
Member of Technical Staff - Macrohard
Pantera Capital, Palo Alto, California, United States, 94306
About xAI
xAI’s esimount 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. WeZeit 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 engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with brewingウォ teammates.
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'arrêt existence of foundation models
Designing and ablating data studies at different stages of training – pre‑training, mid‑training, RL and post‑training
Building and iterating 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 мес 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 annoyance and includes attention. If your application passes this stage, the process is:
15‑minute call with a team member.
3 technical onsite interviews.
1 meet‑the‑team interview where you 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 denta 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.
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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'arrêt existence of foundation models
Designing and ablating data studies at different stages of training – pre‑training, mid‑training, RL and post‑training
Building and iterating 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 мес 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 annoyance and includes attention. If your application passes this stage, the process is:
15‑minute call with a team member.
3 technical onsite interviews.
1 meet‑the‑team interview where you 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 denta 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.
#J-18808-Ljbffr