AI & Technical Recruiter

ZRG Careers; Seattle (WA); On-site; USD 90,000 - 130,000; Full time

Job summary

ZRG Careers is seeking an experienced Technical Recruiter to lead full-cycle recruiting for AI, ML, data science and software engineering roles in the Seattle area. You will partner with hiring managers to translate business needs into precise candidate profiles, develop proactive sourcing strategies, and manage end-to-end candidate interactions with a high-touch approach.

Candidates should have strong experience sourcing passive talent, assessing technical backgrounds, and delivering steady

Qualifications

• 5+ years of full-cycle recruiting experience focused on technical hiring.
• Experience recruiting AI, ML, data science, software engineering, cloud infrastructure.
• Strong sourcing expertise identifying passive candidates.
• Ability to discuss technologies with candidates and hiring managers.
• Experience supporting high-growth technology organizations.

Responsibilities

• Manage full-cycle recruiting for AI, ML, data science, software engineering and infrastructure roles.
• Partner with hiring managers to understand objectives, requirements and ideal profiles.
• Develop sourcing strategies to identify passive talent across competitive tech markets.
• Build pipelines of AI researchers, ML engineers, software developers, data scientists and engineers.
• Conduct screenings to evaluate technical competencies, progression and culture fit.
• Drive candidate engagement and ensure a high-touch experience through interviews.
• Track recruiting metrics and report on pipeline health and market conditions.
• Leverage LinkedIn Recruiter and ATS tools to identify top talent.

Skills

Full-cycle recruiting

Technical hiring

Passive candidate sourcing

Stakeholder management

Candidate assessment

Tools

LinkedIn Recruiter

ATS platforms

Job description

We are seeking an experienced Technical Recruiter with a proven track record of recruiting highly specialized AI, Machine Learning, Software Engineering, and Technical Infrastructure talent.

The ideal candidate understands the AI talent landscape, has experience sourcing passive candidates from leading technology organizations, and can effectively assess technical backgrounds while managing full-cycle recruiting efforts

Key Responsibilities

• Manage full-cycle recruiting for AI, Machine Learning, Data Science, Software Engineering, Data Center, Cloud Infrastructure, and related technical roles
• Partner closely with hiring managers to understand business objectives, technical requirements, and ideal candidate profile
• Develop creative sourcing strategies to identify passive talent across competitive technology market
• Build and maintain pipelines of AI researchers, machine learning engineers, software developers, data scientists, MLOps engineers, infrastructure engineers, and technical leaders
• Conduct recruiter screenings to evaluate technical competencies, career progression, and cultural alignment
• Drive candidate engagement throughout the interview process while delivering a high-touch candidate experience
• Track recruiting metrics and provide regular updates on pipeline health, market conditions, and hiring progres
• Leverage LinkedIn Recruiter, ATS platforms, talent mapping, and advanced sourcing techniques to identify top talent

Required Qualifications

• 5+ years of full-cycle recruiting experience focused on technical hiring
• Experience recruiting for AI, Machine Learning, Data Science, Software Engineering, Cloud, Infrastructure, or related technical disciplines
• Strong sourcing expertise with demonstrated success identifying passive candidates
• Ability to understand technical job requirements and discuss technologies with candidates and hiring managers
• Experience supporting high-growth technology organizations, startups, AI companies, or enterprise technology teams
• Strong stakeholder management and communication skills
• Experience working in a fast-paced, evolving environment with multiple concurrent search
• Experience hiring technical talent for AI infrastructure, GPU computing, data centers, or cloud platforms

Volume: has managed 15+ reqs at once, including roles with several seats, without letting candidate experience slip.

Ability to work through ambiguity: has worked through mid-search changes in hiring strategy, priorities or headcount.

Business acumen: has been a real partner to hiring managers, with weekly written and verbal updates and the ability to influence using data.

Relevant background

• Software, site reliability & platform engineering

full life-cycle experience (not sourcing only) at an AI compute company, neocloud or hyperscaler, owning hiring for at least two or three of the areas below.