Recruiting Partner

Mohamed bin Zayed University of Artificial Intelligence; Sunnyvale (CA); On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401K Plan

Generous PTO

Parental Leave

EAP

Job summary

Mohamed bin Zayed University of Artificial Intelligence is seeking a Recruiting Partner with 8+ years of experience in the technology ecosystem. This role combines PhD/research scientist sourcing with high-volume coordination to scale a top-tier lab.

You’ll architect the candidate experience, ensuring every interview loop runs with white-glove precision, across time zones and regions as needed.

Qualifications

• 8+ Years of experience in Talent Acquisition, specifically within high-growth AI labs or Tier-1 tech firms.
• Must understand differences between Software Engineers and Research Scientists and the ML research ecosystem.
• Ability to manage complex scheduling across multiple time zones and interview loops.
• Experience partnering with Research Leadership and Team Leads to define role requirements and calibrate candidate profiles.

Responsibilities

• Manage complex multi-stage interview calendars across regional and international roles.
• Optimize interview panels for balance, diversity, and technical alignment.
• Act as the primary point of contact for candidates from outreach through offer.

Skills

Scheduling

High-Volume Coordination

Research Recruiting

Stakeholder Management

Consultative Candidate Management

Communication

ATS

LinkedIn Recruiter

Managing Calendars

Tools

Lever

LinkedIn Recruiter

Job description

About the Institute of Foundation Models

We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.

The Role

We are seeking a Recruiting Partner with approximately 8+ years of experience in the technology ecosystem. This is not atypical "recruiter" role; it is a critical operational position that combines high-level PhD/Research Scientist sourcing with the rigorous, high-volume coordination required to scale a top-tier lab.

In a high-growth environment, the "bottleneck" is often the schedule. You will be the architect of our candidate experience, ensuring that every interview loop—no matter how complex or cross-continental—runs with "white-glove" precision.

Key Responsibilities

• 1. High-Volume Coordination & Scheduling (PrimaryFocus)
  • - The "Scheduling Engine": Manage the complex, multi-stageinterview calendars for all regional and international roles. Thisincludes coordinating across multiple time zones.
  • - Panel Optimization: Work with People Operations and TeamLeads to ensure interview panels are balanced, diverse, andtechnically aligned.
  • -Candidate Experience: Act as the primary point of contactfor candidates, ensuring they are briefed, prepared, and supportedfrom initial outreach to offer.
• 2. Full-Cycle Research Recruiting
  • - Strategic Sourcing & Market Mapping: Conductdeep-market research and mapping to identify and engage world-classPhD talent across core and emerging AI domains, includingReinforcement Learning (RL), Post-training, Vision-Language Models(VLM), Diffusion, World Models, and Infrastructure.
  • - End-to-End Search Management: Lead the full recruitinglifecycle from initial intake sessions with hiring managers tofinal closing. Develop tailored hiring strategies for nicheresearch roles.
  • - Stakeholder Management: Partner directly with ResearchLeadership and Team Leads to define role requirements, refine jobdescriptions, and calibrate candidate profiles through regularfeedback loops.
  • - Consultative Candidate Management: Serve as a brandambassador and consultant to candidates, articulating the lab’sunique mission and technical roadmap to convert high-passivetalent.
• 3. Talent Operations & Infrastructure
  • - Compliance & Audit Readiness: Ensure all recruitingprocesses, documentation, and data tracking are fully compliantwith federal and state labor laws (e.g., EEO, CCPA, and relevantCalifornia labor codes). Maintain an "audit-ready" environment forall hiring records and candidate data.
  • - ATS Mastery: Take full ownership of our Applicant TrackingSystem. Ensure 100% data integrity, manage the referral pipeline,and provide weekly "Health of the Pipeline" reports toleadership.
  • - Process Building: Evaluate and improve our hiringworkflows. You will build the templates and playbooks that allow usto scale significantly.
  • - Brand Ambassadorship: Help represent the lab at top-tierconferences to build our local and global talent brand.

Requirements

• - 8+ Years of Experience: Proven track record in TalentAcquisition, specifically within high-growth AI labs or Tier-1 techfirms.
• - Research Literacy: You must understand the differencebetween a "Software Engineer" and a "Research Scientist."Familiarity with the ML research ecosystem and PhD hiring cycles isessential.
• - Mastery of Complexity: Exceptional organizational skills.You should thrive in the "logistical puzzle" of scheduling multiplecomplex interview rounds per day without errors.
• -Communication: Ability to communicate with high-seniorityexecutives and elite academic researchers with professionalpoise.
• - Tools: Expert-level proficiency in modern ATS platforms (experience with Lever is a significant plus ), LinkedInRecruiter, and productivity suites.

$80,000 - $120,000 a year

Compensation

$80,000 – $120,000/year + discretionary performance bonus + benefits

The posted salary range represents the company’s good faithestimate of the base compensation for this position upon hire. Theactual base compensation offered may vary within this rangedepending on individual qualifications, including but not limitedto relevant skills, experience, education, certifications, andspecific business needs. In addition to base salary, totalcompensation includes an annual discretionary performance bonus andcomprehensive benefits.

Benefits Include

• Comprehensive medical, dental, and vision benefits
• Bonus
• 401K Plan
• Generous paid time off, sick leave and holidays
• Paid Parental Leave
• Employee Assistance Program
• Life insurance and disability

Visa sponsorship is not available for this position.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzingresumes, or assessing responses and identifying potentialinconsistencies or verification signals in application materialsbased on available information. These tools assist our recruitmentteam but do not replace human judgment. Final hiring decisions areultimately made by humans. If you would like more information abouthow your data is processed, please contact us.