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Tech Stack
Tools & technologiesDistributed Systems
About the role
Key responsibilities & impact- Lead end-to-end hiring for machine learning and AI-related roles globally
- Source and engage high-caliber ML engineers and researchers across global talent markets
- Partner closely with founders and technical leaders on hiring strategy and talent calibration
- Evaluate technical profiles across machine learning, distributed systems, training infrastructure, and AI applications
- Build long-term pipelines across universities, research labs, startups, and leading technology companies
- Drive hiring process quality, speed, and candidate experience
- Continuously refine sourcing strategies and market intelligence across the AI landscape
Requirements
What you’ll need- Proven experience recruiting machine learning, AI, or highly technical engineering talent
- Strong understanding of the AI and ML talent landscape
- Ability to assess technical depth and candidate quality beyond credentials and company brands
- Strong sourcing, research, and talent mapping ability
- Excellent communication and stakeholder management skills
- Comfortable working in fast-moving and highly competitive environments
- High ownership, persistence, and execution ability
Benefits
Comp & perks- Health insurance
- Flexible work arrangements
- Professional development
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningAIdistributed systemstraining infrastructuretechnical recruitingtalent mappingsourcing strategiesmarket intelligence
Soft Skills
communicationstakeholder managementownershippersistenceexecutionresearchcandidate assessment