Job Description
Job Title: Senior Full Life-Cycle Recruiter specializing in AI Engineering & Applied Research
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Location: San Jose, CA 3 days onsite and 2 days remote
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Duration: ~6 months possible extension
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Key Responsibilities:
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Full Life-Cycle Execution: Manage the complete talent acquisition life cycle—from kick-off strategy meetings and passive sourcing to candidate screening, offer construction, negotiation, and closing.
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Strategic Partnership: Serve as a trusted advisor to AI Engineering leaders and Applied Research Directors, offering market insights, talent mapping, and candidate pipeline health analytics.
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Deep Sourcing & Engagement: Hunt for specialized technical talent across traditional and non-traditional channels.
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Candidate Experience: Deliver an exceptional, high-touch, and inclusive candidate journey that reflects Capital One's culture of innovation and care.
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Offer & Negotiation: Craft competitive, complex offer packages (including equity, compensation structures, and sign-on incentives) and successfully close candidates against elite Big Tech and AI startup competition.
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Inclusion & Diversity: Drive proactive candidate engagement strategies that promote diversity, equity, and inclusion across all pipelines and selection stages.
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Basic Qualifications:
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4+ years of full life-cycle recruiting experience in tech recruitment, with a focus full Life-Cycle Recruiter specializing in AI Engineering & Applied Research
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4+ years of dedicated experience sourcing and closing candidates within AI, Machine Learning, Data Science, or Applied Research domains.
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Proven track record of managing complex candidate offers and competing against top-tier tech companies/labs.
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5+ years of experience recruiting specialized talent in generative AI, LLM infrastructure, deep learning framework development, or advanced AI research.
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Deep understanding of the AI ecosystem, including key skill sets (PyTorch, TensorFlow, Distributed Computing, Model Optimization, Vector Databases, Multi-Agent Systems).
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Experience sourcing talent from top academia/research labs and tech research conferences.
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Strong analytical capability with experience using talent analytics and ATS tools (e.g., Workday, Greenhouse, Beamery) to drive recruitment strategy
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