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Symbolica AI
Sourcing Recruiter (AI & ML Talent)Symbolica AI • London, England
Sourcing Recruiter (AI & ML Talent)

Sourcing Recruiter (AI & ML Talent)

Symbolica AI • London, England
30+ days ago
Job type
  • Full-time
Job description
Get AI-powered advice on this job and more exclusive features. While others focus on scaling data-hungry neural networks, we’re building AI that understands the structures of thought, not just patterns in data. Symbolica is an AI research lab pioneering the application of category theory to enable logical reasoning in machines. We’re a well-resourced, nimble team of experts on a mission to bridge the gap between theoretical mathematics and cutting-edge technologies, creating symbolic reasoning models that think like humans – precise, logical, and interpretable. Our approach combines rigorous research with fast-paced, results-driven execution. We’re reimagining the very foundations of intelligence while simultaneously developing product-focused machine learning models in a tight feedback loop, where research fuels application. Founded in 2022, we’ve raised over $30M from leading Silicon Valley investors, including Khosla Ventures, General Catalyst, Abstract Ventures, and Day One Ventures, to push the boundaries of applying formal mathematics and logic to machine learning. Our vision is to create AI systems that transform industries, empowering machines to solve humanity’s most complex challenges with precision and insight. About The Role You’ll join the founding team as our Sourcing Recruiter, taking full ownership of hiring deeply specialised technical talent in the AI space – from ML Engineers to Applied Researchers and beyond. This is a rare chance to directly shape the trajectory of the company by helping us hire the people who will build Symbolica’s core technology and future. You’ll partner with the Talent Lead to design and run strategic searches that go far beyond traditional sourcing playbooks. You’ll spend most of your time sourcing exceptional passive talent, and you’ll also run full-cycle processes to help us move fast during high-growth periods. Your Focus * Own end-to-end sourcing strategy for highly specialised AI and technical roles * Build and nurture long-term pipelines of world-class researchers, engineers, and hybrid profiles * Take on full-cycle recruitment when needed during high-growth periods * Design and implement sourcing ops, tools, AI automation, and workflows from the ground up in a zero-to-one environment * Identify and engage talent across unconventional channels and niche communities * Use advanced sourcing techniques and automation to surface hard-to-find candidates * Partner closely with hiring managers and the Talent Lead to deeply understand role requirements and ideal profiles * Deliver a high-touch candidate experience with thoughtful communication and follow-through About You * 3+ years of full-cycle recruitment experience, including at least 1 year focused on sourcing for AI/ML and other highly technical roles in deep tech domains * Comfortable flexing between full-time sourcing and 360-recruitment based on hiring volume * Proven ability to hire passive talent using creative, multi-channel strategies * Experience working in fast-paced, early-stage environments where structure is minimal and initiative is key * Deep understanding of sourcing platforms, automation tools, and Boolean/X-ray search * Strong written communication skills; you can pitch a compelling story to top-tier talent * You love the hunt – naturally curious, proactive, and obsessive about quality We offer competitive compensation, including an early-stage equity package, with salary and equity levels aligned to your experience and expertise. 📍 This is a 5 days/week onsite role based in our London office (66 City Rd). Symbolica is an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, gender, age, religion, disability, or sexual orientation. J-18808-Ljbffr
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Sourcing Recruiter (AI & ML Talent) • London, England

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