Ursus
Overview
JOB TITLE: ML Talent Partner & Researcher
LOCATION: San Jose, CA
HYBRID: 3 days in-office
DURATION: 6 months contract
COMPANY: Our client is a global leader in creative software, offering innovative tools for digital media creation, design, and marketing.
About the Role We are seeking a highly skilled Talent Researcher/Talent Partner with deep expertise in sourcing and recruiting top AI/ML talent. This role combines advanced research sourcing techniques with full cycle recruiting capabilities to attract and secure world-class technical talent in a competitive landscape.
Responsibilities
Talent Research & Sourcing – AI/ML focus:
Identify, engage, and build pipelines of top-tier AI/ML talent.
Leverage creative sourcing techniques using LinkedIn Recruiter, GitHub, Kaggle, Boolean search, research publications, and academic networks.
Conduct market research and competitor analysis to understand talent availability, compensation trends, and skills in demand.
Develop innovative strategies to engage passive candidates in the AI/ML space.
Provide data-driven insights and market intelligence to inform hiring decisions and guide recruitment strategy.
Talent Advisory & Full-Cycle Recruiting:
Partner with hiring managers to define hiring strategies aligned with business priorities in AI/ML and applied sciences.
Drive end-to-end recruitment, including pipelining, interviews, stakeholder management, and offer negotiation.
Support the hiring process with agility—interview coordination, debriefs, and event planning for candidate engagement.
Qualifications
5+ years of recruiting experience, including 3+ years as a Talent Partner/Advisor or equivalent in technology-driven roles.
Demonstrated experience sourcing and recruiting core AI/ML talent, including applied scientists, ML engineers, computer vision experts, and related applied research roles.
Strong sourcing skills with proficiency in LinkedIn Recruiter, Boolean search, GitHub, Kaggle, and academic networks.
Deep understanding of applied science, modeling, computer vision, and machine learning domains.
Exceptional communication and stakeholder management skills.
Familiarity with ATS tools such as Phenom, Workday, or similar.
Collaborative, agile mindset with ability to support peers and drive hiring priorities.
Why Join Us
Shape the future of AI/ML talent acquisition in a high-growth, innovative environment.
Collaborate with a supportive, high-performing team in a value-driven culture.
Drive impactful hiring initiatives that shape the company’s technical capabilities and innovation roadmap.
Benefits INDIVIDUAL compensation is determined by skills, qualifications, experience, and location. Compensation details listed reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full-time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching.
IND123
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LOCATION: San Jose, CA
HYBRID: 3 days in-office
DURATION: 6 months contract
COMPANY: Our client is a global leader in creative software, offering innovative tools for digital media creation, design, and marketing.
About the Role We are seeking a highly skilled Talent Researcher/Talent Partner with deep expertise in sourcing and recruiting top AI/ML talent. This role combines advanced research sourcing techniques with full cycle recruiting capabilities to attract and secure world-class technical talent in a competitive landscape.
Responsibilities
Talent Research & Sourcing – AI/ML focus:
Identify, engage, and build pipelines of top-tier AI/ML talent.
Leverage creative sourcing techniques using LinkedIn Recruiter, GitHub, Kaggle, Boolean search, research publications, and academic networks.
Conduct market research and competitor analysis to understand talent availability, compensation trends, and skills in demand.
Develop innovative strategies to engage passive candidates in the AI/ML space.
Provide data-driven insights and market intelligence to inform hiring decisions and guide recruitment strategy.
Talent Advisory & Full-Cycle Recruiting:
Partner with hiring managers to define hiring strategies aligned with business priorities in AI/ML and applied sciences.
Drive end-to-end recruitment, including pipelining, interviews, stakeholder management, and offer negotiation.
Support the hiring process with agility—interview coordination, debriefs, and event planning for candidate engagement.
Qualifications
5+ years of recruiting experience, including 3+ years as a Talent Partner/Advisor or equivalent in technology-driven roles.
Demonstrated experience sourcing and recruiting core AI/ML talent, including applied scientists, ML engineers, computer vision experts, and related applied research roles.
Strong sourcing skills with proficiency in LinkedIn Recruiter, Boolean search, GitHub, Kaggle, and academic networks.
Deep understanding of applied science, modeling, computer vision, and machine learning domains.
Exceptional communication and stakeholder management skills.
Familiarity with ATS tools such as Phenom, Workday, or similar.
Collaborative, agile mindset with ability to support peers and drive hiring priorities.
Why Join Us
Shape the future of AI/ML talent acquisition in a high-growth, innovative environment.
Collaborate with a supportive, high-performing team in a value-driven culture.
Drive impactful hiring initiatives that shape the company’s technical capabilities and innovation roadmap.
Benefits INDIVIDUAL compensation is determined by skills, qualifications, experience, and location. Compensation details listed reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full-time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching.
IND123
#J-18808-Ljbffr