Hiring Top AI, ML & Software Engineering Talent
- Data-backed market insights grounded in the latest HIGHER State of TA report and live compensation benchmarking data
- Actionable global frameworks including five critical questions to ask before hiring in unfamiliar locations
- Expert TA strategy with exclusive perspectives from global talent acquisition leaders on structuring applied ML, MLOps, and research-oriented engineering teams
Built for TA professionals and tech leaders scaling AI capabilities
What's Inside
Market Intelligence
Real-time data on where AI, ML, and software engineering talent is concentrated — and what it takes to compete for them globally.
Global Frameworks
Five critical operational questions to evaluate before expanding into new markets, plus steps to eliminate interview friction across time zones.
Team Structure Playbooks
How leading companies are structuring applied ML, MLOps, and research-oriented engineering teams — with insights from global TA leaders.
Who Is This For
Heads of Talent Acquisition
Scaling AI and engineering hiring across multiple markets and need data-driven frameworks to guide location strategy and candidate assessment.
CTOs & Engineering Leaders
Building applied AI, ML, and data infrastructure teams and need clarity on market availability, compensation benchmarks, and team structure.
People & HR Leaders
Supporting rapid technical hiring with workforce planning insights that connect talent strategy to business growth objectives.
Ready to scale your AI and engineering hiring?
Download the guide and build a data-driven talent strategy across markets.