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distributed systems quantitative research infrastructure scientific computing talent mapping📋 Description
- Own long-term talent strategies to recruit AI researchers and ML scientists.
- Partner with research staff to define hiring priorities and search strategies.
- Influence candidate evaluation and compensation strategy for specialists.
- Serve as trusted advisor through candidate evaluation and closing.
- Collaborate with sourcing partners on complex, high-impact searches.
- This is not a traditional execution-focused recruiting role.
🎯 Requirements
- Significant experience recruiting in highly technical environments.
- Deep interest in AI research and global research communities.
- Experience recruiting in ML/AI, distributed systems, infra, or scientific computing.
- Track record leading complex technical searches from mapping to close.
- Negotiation experience with senior technical or research candidates.
- Comfort operating in fast-moving hiring priorities and evolving roles.
🎁 Benefits
- Hybrid work model with SF office base.
- Relocation assistance provided.
- Open-plan offices with amenities and meals.
- Competitive salary and equity options.
- Inclusive, equal-opportunity employer.
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