Senior Technical Recruiter

AssemblyAI

. Own full-cycle recruiting for Research and senior Engineering roles from intake through offer and close .

Posted 10/14/2026full-timeRemote • United StatesSenior💰 $170,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in full-cycle technical recruiting, particularly for ML researchers and engineers, while leveraging data and AI tools for effective sourcing and candidate management. Proven ability to build relationships and close senior candidates in competitive environments.

Highest-signal resume keywords

Technical Recruiting ExperienceOutbound Sourcing PracticeML Research Community NetworkGreenhouse ProficiencyCandidate Closing Expertise

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

Full-Cycle RecruitingModel TrainingModel EvaluationModel InferenceCandidate Assessment

Soft Skills

Self-DirectionRelationship BuildingThoughtful Screening

Tools & Technologies

GreenhouseLinkedIn RecruiterJuiceBoxAI Sourcing Tools

Industry Keywords

ML ResearchersResearch EngineersAI LabsAI-Native StartupsTechnical Candidates

About the role

Key responsibilities & impact

Own full-cycle recruiting for Research and senior Engineering roles from intake through offer and close
Build outbound-first pipelines by mapping talent at frontier labs, speech and audio teams, and academic groups
Track publications, open-source contributors, and conference speakers
Partner with research and engineering leaders to define profiles, calibrate hiring standards, and design efficient interview loops
Conduct thoughtful screens with technical candidates and provide evidence-based assessments to hiring managers
Lead complex closes involving competing offers, equity conversations, and international candidates
Build long-term relationships with candidates not yet ready to move
Use data and AI tooling for sourcing, Greenhouse pipeline management, and funnel reporting
Support team scaling through interviewer training, structured kits, and strong candidate experience

Requirements

What you’ll need

5+ years of technical recruiting experience
Track record of hiring ML researchers, research engineers, or ML/infrastructure engineers at AI labs, AI-native startups, or top tech companies
Strong outbound sourcing practice and a network in the ML/AI research community
Technical fluency to discuss model training, evaluation, and inference with researchers
Experience closing senior, sought-after candidates against competing offers, including equity-heavy packages
Comfort with Greenhouse, LinkedIn Recruiter, JuiceBox (or similar), and modern AI sourcing tools
Self-direction and ability to identify high-impact work independently

Benefits

Comp & perks

Competitive equity grants
100% employer-paid benefits
Competitive compensation, benefits, and rewards package