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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 at 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 at Lucky Hunter
The Entry Point
42.’s founder needed a researcher to test early ideas across trading, biology and other scientific fields. With no fixed roadmap, the role called for someone who could define experiments independently and adapt as new evidence emerged.
A candidate's qualifications on paper couldn't reveal whether they would thrive in an ambiguous research environment. The role required choosing research directions independently and adapting as new evidence emerged.
Candidates also needed clarity: how would their performance be assessed without predefined milestones, and how committed was the company to funding this new R&D direction?
Candidates also needed clarity: how would their performance be assessed without predefined milestones, and how committed was the company to funding this new R&D direction?
Lucky Hunter previously filled Low-Level Engineer (C++/MLIR), ML Researcher, and Autonomous Research Platform Architect roles for 42.
ML Researchers with Niche Expertise: Where We Searched and How We Found 3 Experts for 42.
Results
We hired a researcher with a PhD in Chemistry and hands-on experience in ML, materials science and AI systems. Their background in independent experimentation matched the founder’s open-ended R&D plans.
3
CVs submitted before the offer
1
week from offer to start
~1
month to offer acceptance
1
position filled
Results
We hired a researcher with a PhD in Chemistry and hands-on experience in ML, materials science and AI systems. Their background in independent experimentation matched the founder’s open-ended R&D plans.
~1
month to offer acceptance
3
CVs submitted before the offer
1
position filled
What's next
The team added a dedicated researcher reporting directly to the founder, enabling early-stage hypothesis testing before committing full engineering resources.
This allows the core quantitative team to maintain focus on live trading infrastructure while the founder evaluates ideas across trading, biotech, and natural sciences.
This allows the core quantitative team to maintain focus on live trading infrastructure while the founder evaluates ideas across trading, biotech, and natural sciences.
While long-term research outputs are pending, this hire marks the operational step toward 42.’s target: leveraging capital from quantitative trading to fund fundamental scientific research.
“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.
We truly appreciated their coordinated teamwork and responsiveness. Highly recommended!”
We truly appreciated their coordinated teamwork and responsiveness. Highly recommended!”
Mira
Co-founder & CEO, 42.
“Having partnered with 42. on previous searches, we understood their internal structure and culture. That allowed us to pitch a role without fixed deliverables or a clear roadmap with complete clarity.
By laying out the actual work environment during the initial screen, we ensured only candidates aligned with that structure made it to the founder.”
By laying out the actual work environment during the initial screen, we ensured only candidates aligned with that structure made it to the founder.”
Valeria
Lead IT Recruiter at Lucky Hunter
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other cases
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