Talent Sourcer – Machine Learning & Quantitative Research
imc · Chicago, United States · $100k–$150k
- Posted
- 13 days ago
- Last confirmed live
- 1 day ago
- Published range
- $100k–$150k
What this role involves
IMC is hiring a Talent Sourcer focused on Machine Learning and Quantitative Research. The role involves developing sourcing strategies, building passive candidate pipelines, and partnering with recruiters. Candidates should have 4-7 years of technical sourcing experience and a strong understanding of ML and quantitative research landscapes.
Skills this posting asks for
- sourcing
- technical recruiting
- linkedin recruiter
- github
- kaggle
- hugging face
- market mapping
- talent landscape analysis
- machine learning
- ai
- quantitative research
- stakeholder management
- communication
- organizational skills
- passive candidate sourcing
- referrals
- research publications
- conferences
Requirements
- 4 years of experience
- Level: senior
- Visa sponsorship: no
From the employer’s posting
As an ML and Quantitative Research Sourcer, you will be focused on identifying and engaging experienced talent across Machine Learning and Quantitative Research, mapping competitive talent landscapes, building relationships with high-caliber technical professionals, and developing creative sourc…
Read the full description on imc’s careers pageApply without filling the form
Approve this role and the application is completed for you, including a résumé tailored to it. You get a confirmation when it lands, and a credit is only spent when a submission is confirmed.
Other roles at imc
- Software Engineer Intern - Summer 2027Chicago, United States
- Machine Learning Research Intern - Summer 2027 - ChicagoChicago, United States
- Graduate Machine Learning Researcher - ChicagoChicago, United States
- Graduate Software EngineerChicago, United States
- Data Engineer - InfrastructureChicago, United States
- Quantitative DeveloperNew York, United States