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ML Researcher

Where we searched and how we found 3 ML Researchers for 42.

Case study: hiring ML Researchers with niche expertise for a fintech ML startup by Lucky Hunter — deep tech recruitment agency.

ML Researcher
ML & Analytics
LLM
PyTorch
Startup
About the client
42.
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.
Founded
2025
Headquarters
Canada
Key feature
Building ML models for financial analysis
42.
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.
Maria
Maria
Head of IT Recruitment in Lucky Hunter
CASE AUTHOR
About the client
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.
Founded
2025
Headquarters
Canada
Key feature
Building ML models for financial analysis
About the client
42.
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.
Founded
2025
Headquarters
Canada
Key feature
Building ML models for financial analysis
42.
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.
About the client
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.
Founded
2025
Headquarters
Canada
Key feature
Building ML models for financial analysis
our team
Maria
Maria
Head of IT Recruitment in Lucky Hunter
Karina
Karina
IT recruiter in Lucky Hunter
Valeria
Valeria
Lead IT recruiter in Lucky Hunter
Veronika
Veronika
Sourcing IT Specialist in Lucky Hunter

The Entry Point

42. came to us to fill several research positions, from Senior ML Researcher to ML Engineer. The requirements were complex: deep research expertise, experience with foundation models and practical experience in finance.
Challenge
We were operating in the most competitive market, where offers for ML Researchers match top Big Tech companies, and 42. needed several specialists at once within tight deadlines. They sought researchers with LLM experience and scientific publications or a Big Tech background – there are very few candidates of this caliber globally.
Foundation models
Experience with LLM, time series or multimodal models.
PyTorch & C++
Solid hands-on skills in PyTorch and C++.
ML & math depth
Deep knowledge of Machine Learning, Deep Learning and mathematics.
Research track record
Publications and participation in research projects, English B2+.
Nice to have
Experience in HPC and/or the financial sector.
This was one of several searches for 42. Alongside it we found 3 Low-Level Engineers, and later an Architect of Autonomous Research Platform for the team.
ML Combo in 2 Months: 4 DS Engineers + Team Lead DS for the Biggest Classifieds Platform

Results

A team of four recruiters and community-focused sourcing – Kaggle, ML competitions and conference authors – helped us reach rare researchers fast.
271
resumes processed
54
screening interviews
26
CVs sent
4
offers made
3
months to close
3
positions filled
Four recruiters
The project was run by a team of four recruiters who split search directions and exchanged feedback quickly.
Community sourcing
We searched beyond LinkedIn: Kaggle, ML competitions and authors of publications at specialised conferences.
Flexible client
42. considered different profiles, relocation or remote work, and both employment and B2B contracts.

Results

A team of four recruiters and community-focused sourcing – Kaggle, ML competitions and conference authors – helped us reach rare researchers fast.
3
months to close
271
resumes processed
3
positions filled
Four recruiters
The project was run by a team of four recruiters who split search directions and exchanged feedback quickly.
Community sourcing
We searched beyond LinkedIn: Kaggle, ML competitions and authors of publications at specialised conferences.
Flexible client
42. considered different profiles, relocation or remote work, and both employment and B2B contracts.

What's next

We stayed in continuous contact with the client, aligning expectations, discussing compensation and coordinating relocation.
42. knows the market price for top specialists: they offer a competitive salary and are quick to revise an offer.
Client's testimonial
42.
Client's testimonial
“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!”
Mira
Mira
Co-founder & CEO 42.
Canada
Recruiter's feedback
Recruiter's feedback
“42. demonstrated incredible flexibility. They were ready to consider different profiles, offered options for both relocation and remote work, as well as various contract types: official employment or a B2B contract. But most importantly, the company truly knows the market price for top specialists. They are willing to offer a competitive salary and are quick to revise the offer.”
Maria
Maria
Head of IT Recruitment in Lucky Hunter
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