Reported total funding (per evidence): ~$37.134B (USD) aggregated / multiple large rounds including $6B Series C
Headcount (reported): 4,886 employees
Company Overview
Problem Domain
Advanced AI research and developer/consumer AI products
Founded
2023
Industry
Technology, Information and Internet
Funding Track Record
Series C- 2024-12-25
$6,000,000,000
Announced $6B Series C; reporting tied round participants and valuation context.
Series E- 2026-01-06
$20,000,000,000
Company announced it raised $20B in a Series E.
Debt and equity raise- 2025-07-01
$10,000,000,000
Reported combined $10B in debt and equity.
Investor Signal
“Participation from large institutional and strategic investors including Andreessen Horowitz (a16z), BlackRock, Fidelity, Kingdom Holdings, Lightspeed, MGX, Morgan Stanley, OIA, QIA, Sequoia Capital, Valor Equity Partners, Nvidia and others as reported.”
Founders
What we do
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Join the Team
Member of Technical Staff
On-SiteSan Francisco Bay Area, US
On-Site • San Francisco Bay Area, US
Who you are
You are self-driven, smart and trustworthy
What the job involves
Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.
DevOps Engineer
Part-timeHamburg, DE
Part-time • Hamburg, DE
Data Scientist
InternshipLondon, GB
Internship • London, GB
Backend Developer
Part-timeTel Aviv
Part-time • Tel Aviv
Frontend Developer
ContractNew York, US
Contract • New York, US
Frontend Developer
Part-timeHaifa
Part-time • Haifa
Backend Developer
Part-timeNiš, RS
Part-time • Niš, RS
Next-token prediction is a meaningful target for the time where online data is large enough, but model size can not grow as much. As we enter the new phase, model size is growing faster than data, therefore we need a new scaling paradigm
At xAI, our compute grows much faster than other companies. We believe scaling up effective compute / useful data is the best path to achieve next-level intelligence
What is “effective compute” or “useful data”? This is the first question this role is expected to explore and answer
It could be solid data cleaning and scaling, could be discovering new knowledge via self-improvement, could be a new learning paradigm like continual learning, could be unified models of text / code / images / videos understanding and generation, could be new model architectures / attention / non-autoregressive models... Anything that has the potential to be the next scaling paradigm is open to exploration
Remember we are aiming at several hundreds of millions GPU hours of training, any tiny training stability issue will ruin the big run
So this role also needs to explore how to do large-scale and long-time training. For example, most reasoning and postraining phases <1k steps, think about scaling to 10k to 100k steps of training and the model still stably improves like a typical successful pretraining run. This is the goal we also want to achieve
Bold and visional ideas, remember you are at the frontier of deep learning scaling, you have more compute than anywhere else
Hands-on works, all xAI members are engineers
Full-stack ownership, starting from eval building and new data preparation, to implement your crazy ideas, to evaluating results, then redesign next experiments and iterate
Collaboration, communication, spark new ideas
Solid execution and results analysis
Fast iteration, consistent and gradual improvement
Benefits
Health and wellness: Comprehensive health insurance including medical, dental, vision, and disability coverage
Life and family: Life and AD&D insurance and fertility benefits to ensure our team’s well-being and peace of mind
Flexible vacation: We work hard but avoid burn out. Take time off when you need it
Visa sponsorship: We support international talent with visa sponsorship to join our team
401(k) plan: Retirement savings plan to secure your financial future
