Recruiter - Research

As a Recruiter - Research at Luma, your primary responsibilities include developing tailored sourcing strategies to identify top research talent, collaborating with research leaders to understand specific hiring needs, and creating an exceptional candidate experience. You'll leverage innovative sourcing channels and track key metrics to optimize recruiting efforts.

To excel as a Recruiter - Research at Luma, candidates should possess at least 5 years of technical recruiting experience in AI or related fields. A deep understanding of the AI research landscape, excellent relationship-building skills, and a data-driven approach to recruiting are also key qualifications. Experience with modern ATS systems is preferred.

Staying updated with AI trends as a Recruiter - Research at Luma involves regularly reading research publications, attending academic conferences, and engaging with AI communities. This helps in understanding emerging talent pools and maintaining an edge in sourcing exceptional candidates.

A Recruiter - Research at Luma should implement various sourcing strategies, including leveraging platforms like GitHub, attending academic conferences, and networking within AI research communities. This multifaceted approach helps build a robust pipeline of candidates who can drive Luma’s mission forward.

The candidate experience is crucial for a Recruiter - Research at Luma, as it reflects the company’s commitment to potential hires. An exceptional candidate experience fosters positive relationships and can significantly impact the company's ability to attract and retain top research talent in a competitive market.

Start by identifying key sources of talent such as top universities and research institutions. Engage with AI communities, and attend industry conferences. Adapt strategies based on the specific research areas the company is focused on and keep an eye on emerging trends in talent acquisition.

In discussing your experience, highlight specific roles you’ve filled in tech, especially in AI or ML, and emphasize your understanding of technical skills. Share successful sourcing strategies you used and how you built relationships with hiring managers to fulfill their requirements.

Mention metrics like time-to-fill, source of hire, and candidate satisfaction scores. Explain how you analyze these metrics to improve your sourcing strategies, enhance candidate experience, and ensure alignment with hiring goals over time.

Emphasize the importance of communication and timely feedback. Describe how you set clear expectations with candidates, keep them informed throughout the process, and ensure a smooth transition from outreach to the interview stage.

Building relationships with hiring managers involves ensuring clear, open dialogue about their needs and expectations. Regular check-ins, and involving them in the interview process will foster trust and alignment of goals.

For a high-volume recruitment drive, prioritize organization and create a streamlined process. Use ATS tools to manage applications, set up a clear schedule for interviews, and utilize collaborative approaches with team members to share workloads efficiently.

Discuss specific ATS systems you've used, like Ashby. Highlight how these systems have aided you in managing candidate pipelines, tracking metrics, and improving efficiencies in the hiring process.

Talk about deliberate strategies to reach diverse candidates, such as participating in diversity-focused job fairs, collaborating with organizations that support underrepresented groups in tech, and crafting inclusive job descriptions.

Highlight techniques like conducting technical screenings, collaborating with technical assessors for evaluations, and using relevant assessments to gauge candidates' skills effectively.

Share your enthusiasm for AI and how it aligns with Luma's vision. Talk about your desire to connect innovative talent with pioneering research teams and contribute to groundbreaking projects in the AI field.