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Artificial Intelligence Research Engineer

Stealth Startup โ€ข San Francisco Bay Area
Visa Sponsorship Relocation
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AI Summary

Join a frontier artificial-intelligence laboratory to build an AI capable of original discovery. As a Research Engineer, you will design, develop, and deploy AI systems. Strong machine-learning intuition and serious engineering fundamentals are required.

Key Highlights
Build an AI capable of original discovery
Design, develop, and deploy AI systems
Strong machine-learning intuition and serious engineering fundamentals required
Key Responsibilities
Run whole loops โ€” data, training, evaluation, analysis
Ship the system
Learn a new layer of the stack in weeks
Technical Skills Required
Machine Learning Artificial Intelligence Python
Benefits & Perks
$320,000 base salary
Meaningful early-stage equity
Compute to match the ambition
Medical, dental, vision, 401(k)
Nice to Have
Hands-on experience with LLM systems โ€” post-training, agents, or the infrastructure beneath them

Job Description


We are a frontier artificial-intelligence laboratory, still in stealth, established for a single purpose: to build an AI capable of original discovery โ€” a system that does not merely retrieve and recombine what is already known, but reasons toward genuinely new understanding of the problems put to it. We hold that an instrument able to truly discover is among the most consequential technologies humanity will ever build, and we are building it.


Our system has already produced results beyond the reach of any human team.


'Others in this space have celebrities, we have actual results'


It is one machine โ€” post-training, agentic architectures, the data and evaluation layers beneath them โ€” and we hire people who can build any part of it. The work is whatever the instrument needs next.


We do not separate research from engineering, and we do not carve the system into territories. You run whole loops โ€” data, training, evaluation, analysis โ€” and you ship.


The trait we weight above every other is not what you already know, but how fast you learn what no one can teach you. What we look for is range and proof: strong machine-learning intuition and serious engineering fundamentals; hands-on experience with LLM systems โ€” post-training, agents, or the infrastructure beneath them; the ability to learn a new layer of the stack in weeks, not quarters; and code others can reproduce. We weigh demonstrated ability above pedigree.


The terms are plain: a full-time salaried appointment, hybrid in the San Francisco Bay Area, with relocation support and visa sponsorship where needed. $320,000 base salary plus meaningful early-stage equity, and compute to match the ambition. Medical, dental, vision, 401(k).


What we look for is range and proof: strong machine-learning intuition and serious engineering fundamentals; hands-on experience with LLM systems โ€” post-training, agents, or the infrastructure beneath them; the ability to learn a new layer of the stack in weeks, not quarters; and code others can reproduce. We weigh demonstrated ability above pedigree.


Apply here:


https://pfa.zto77.com/apply-technical-staff


Every application receives an answer within days.


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