Hybrid Talent Partner - Research & ML at Black Forest Labs
Black Forest Labs · San Francisco, United States Of America · Hybrid
- Senior
- Office in San Francisco
Black Forest Labs is a cutting-edge start up pioneering generative image and video models. Our team, which invented Stable Diffusion, Stable Video Diffusion, and FLUX.1, is currently looking for a Talent Partner - Research & ML.
As our Talent Partner - Research & ML, you'll be focused on developing relationships and recruiting the best talent across the diffusion research and full stack machine learning community.
The Role:
Strategic talent partnership
- Partner closely with hiring managers to deeply understand their technical and non-technical requirements across Research and ML.
- Serve as a trusted talent advisor for your remit, coaching managers on effective interviewing, assessment techniques, and closing strategies
Talent pipeline development
- Build and execute creative sourcing strategies to develop robust pipelines for specialized technical roles.
- Collaborate closely with hiring managers to move candidates through the recruitment pipeline smoothly and efficiently
- Contribute to a distinctive employer brand that positions BFL competitively against larger tech companies for specialised talent
- Establish relationships with key talent communities, universities, and industry networks
- Design and implement initiatives to attract diverse talent and build an inclusive hiring process
- Proactively identify and resolve recruiting bottlenecks to accelerate hiring velocity
Candidate experience
- Own the entire candidate journey, ensuring a high-touch, personalised experience that reflects our values
- Develop sophisticated closing strategies for competitive talent markets
- Serve as a compelling ambassador for BFL's mission, culture, and opportunities
Ideal Experience:
- Demonstratable experience working within a foundational research led organisation
- 5+ years of full cycle recruiting experience
- Confidence recruiting across US and EMEA and a strong understanding of geographical nuances
- Deep network within research and machine learning communities.
About you:
- Strong interpersonal skills, and a get-things-done mindset
- Attention to detail and strong organisational skills in managing a high volume of candidates and data
- Experience within a fast-paced, high growth work environment with ambiguity
- Experience utilising applicant tracking systems and various sourcing tools
- Outstanding communication skills, both verbal and written with the ability to engage candidates, build relationships, and explain the value proposition of working at BFL
Apply Now
