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42 is an AI research company building an autonomous AI Scientist that conducts scientific discovery through a continuous cycle of hypothesis generation, experimentation and real-world feedback.
42 is an AI research company building an autonomous AI Scientist that conducts scientific discovery through a continuous cycle of hypothesis generation, experimentation and real-world feedback.
Valeria
Lead IT recruiter in Lucky Hunter
42 is an AI research company building an autonomous AI Scientist that conducts scientific discovery through a continuous cycle of hypothesis generation, experimentation and real-world feedback.
42 is an AI research company building an autonomous AI Scientist that conducts scientific discovery through a continuous cycle of hypothesis generation, experimentation and real-world feedback.
42 is an AI research company building an autonomous AI Scientist that conducts scientific discovery through a continuous cycle of hypothesis generation, experimentation and real-world feedback.
42 is an AI research company building an autonomous AI Scientist that conducts scientific discovery through a continuous cycle of hypothesis generation, experimentation and real-world feedback.
Valeria
Lead IT recruiter in Lucky Hunter
The Entry Point
Rather than hiring a team of quants, 42. chose to automate their HFT pipeline end-to-end with AI agents: from trade idea generation to validation, deployment and optimization. That meant finding an architect who could build the system from scratch, not a standard ML Researcher.
We needed someone who had actually built autonomous research agents or AI co-scientist platforms before – globally, there are only a handful of such people. There was no playbook either: these systems are brand new. Trading experience was a major plus, as it gave candidates immediate context on the operating environment.
This is one of several roles we've filled for 42. Before this search we found 3 Low-Level Engineers and 3 ML Researchers for the team.
Rare Talent: How We Secured 3 Low-Level Engineers for 42.
Results
By the time this role opened, we already had an active LLM/AI-agent pipeline for 42. with several warm candidates from related searches.
105
resumes reviewed
10
recruiter interviews
7
CV reviews
7
client interviews
1,5
months from search start to offer
1
position filled
Results
By the time this role opened, we already had an active LLM/AI-agent pipeline for 42. with several warm candidates from related searches.
1,5
months from search start to offer
105
resumes reviewed
1
position filled
What's next
The architect will now build the agent orchestration framework and an alpha memory system to log hypotheses and results.
Next comes a falsification-first verification layer that filters out false alpha before strategies touch real capital.
“We've worked with Lucky Hunter for three months, and in that time they closed six roles, including low-level C++/MLIR engineers and ML researchers. The team refined profiles, ran market analysis, suggested donor companies, and quickly adjusted the search.
All roles were filled effectively, even with challenges involved. Highly recommended!”
All roles were filled effectively, even with challenges involved. Highly recommended!”
Mira
Co-founder & CEO 42.
“We already had great momentum with our AI agent candidates. As soon as I looked at his background, the fit was obvious: at his previous role, he was building something very close to an AI co-scientist, and he had a solid background in trading. 42. moved fast and stayed flexible, approving remote work from Spain to secure a candidate this rare.”
Valeria
Lead IT recruiter in Lucky Hunter
other cases
other cases
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