S

AI Research Engineer

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

Join a stealth-mode AI lab focused on building an AI capable of original discovery. This role involves running full development loops from data to deployment and shipping code. Key requirements include rapid learning ability, strong ML intuition, and engineering fundamentals.

Key Highlights
Building an AI capable of original discovery, not just retrieval and recombination.
Full ownership of development loops: data, training, evaluation, analysis, and shipping.
Emphasis on rapid learning and demonstrated ability over pedigree.
Key Responsibilities
Build any part of the AI system needed.
Run whole development loops: data, training, evaluation, analysis.
Ship code and contribute to the instrument's next needs.
Technical Skills Required
Machine Learning LLM Systems Software Engineering
Benefits & Perks
Full-time salaried appointment
Hybrid in San Francisco Bay Area
Medical, dental, vision, 401(k)
Nice to Have
Post-training AI architectures
Agentic architectures
Data and evaluation layers beneath AI systems

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 and slides, 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.
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.

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