Senior Technical Recruiter – AI / ML, Data Science

Capital One

. Drive full-lifecycle technical recruiting for specialized talent pools across AI Engineering, Machine Learning, Applied Research, and Data Science .

Posted 11/3/2026full-timeMcLean • Virginia • United StatesSenior💰 $138,100 - $173,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in full-lifecycle technical recruiting for specialized talent in AI Engineering, Machine Learning, and Data Science, with a strong focus on data-driven hiring workflows and candidate experience. Proven ability to negotiate complex offer packages and leverage advanced sourcing methods to attract elite candidates.

Highest-signal resume keywords

Full Lifecycle Technical RecruitingArtificial Intelligence SourcingComplex Offer NegotiationData-Driven Hiring WorkflowsAdvanced Sourcing Methods

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Technical RecruitingAI/ML TerminologyCandidate Conversion MetricsNegotiation SkillsRecruiting SLAs

Soft Skills

High-Touch Candidate ExperienceCollaboration with Engineering Leaders

Tools & Technologies

GitHubGoogle ScholarArXivNeurIPSICMLCVPR

Certifications & Qualifications

Bachelor’s DegreeMilitary Experience

Industry Keywords

AI EngineeringMachine LearningApplied ResearchData ScienceBig TechHigh-Tech SectorFinancial ServicesEast Coast Technology Ecosystem

About the role

Key responsibilities & impact

Drive full-lifecycle technical recruiting for specialized talent pools across AI Engineering, Machine Learning, Applied Research, and Data Science
Leverage unconventional sourcing platforms, research papers, academic channels, and tech communities such as GitHub, Google Scholar, arXiv, NeurIPS, ICML, and CVPR
Partner with Engineering Directors, VPs, and Research Leads to refine job profiles and establish interview rubrics
Drive efficient, data-driven hiring workflows
Architect and execute compelling closing strategies for elite candidates
Navigate multi-year equity buyouts, sign-on structures, and competing Big Tech or AI Lab offers
Map competitor ecosystems, including Big Tech, research labs, and AI startups
Identify emerging talent pools and share market insights with internal partners
Deliver a high-touch, differentiated candidate experience for sought-after researchers and engineers

Requirements

What you’ll need

Bachelor’s Degree or Military Experience
At least 7 years of full lifecycle technical recruiting experience
At least 2 years of dedicated experience sourcing and recruiting specialized talent in Artificial Intelligence, Machine Learning, Applied Research, or Advanced Data Science
At least 2 years of experience negotiating complex offer packages, including base, performance bonuses, and equity structures, within high-tech or financial services sectors
Deep fluency in AI/ML terminology and ability to distinguish AI Engineers, Applied Researchers, Data Scientists, and Machine Learning Infrastructure Engineers
Experience using recruiting SLAs, funnel metrics, and candidate conversion data
Established network within key East Coast and national AI hubs and top PhD programs
Preferred: 5+ years of technical recruiting experience in high-growth enterprise, Big Tech, or specialized executive search environments
Preferred: Proven track record using advanced sourcing methods such as GitHub, arXiv, Google Scholar, and conference rosters
Preferred: Demonstrated history of achieving high offer acceptance rates (60%+) in competitive technical talent pools
Preferred: Deep familiarity with NYC and East Coast technology and research talent ecosystems
No new employment-authorization sponsorship or immigration-related support available

Benefits

Comp & perks

Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI)
Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being
Hybrid work arrangement