Technical Recruiter, AI/ML

Waymo’s People team recruits and supports the world’s best talent (including, we hope, you). Our HR business partners, program administrators, staffers, and compensation specialists help our employees attain their full potential in a healthy, considerate and supportive environment. 

In this hybrid role, you will report to the Head of Onboard Engineering Recruiting. 

You will:

• Partner directly with research and technical staff to define hiring priorities, shape search strategies, and anticipate future talent needs as technical roadmaps evolve.
• Proactively identify and cultivate exceptional AI/ML research talent across industry, academia, and emerging labs, often before formal hiring needs exist.
• Perform recruiting analyses and talent assessments to determine how best to optimize your search strategy and overall hiring productivity, making adjustments to strategy as appropriate. 
• Use market insights and candidate signals to influence hiring decisions, leveling, and compensation strategy for highly specialized research roles.
• Extend, negotiate and close offers, including making recommendations to hiring managers and champ callers on offer close strategy.

You have:

• Significant experience recruiting for highly technical, senior, executive, or otherwise specialized talent
• Strong judgment and discretion in handling sensitive candidate conversations and confidential searches
• A real instinct for talent intelligence: you know how to gather market context, read between the lines, and turn incomplete information into useful action.
• Track record of building relationships with hard-to-reach candidates who are not actively looking or who require a highly personalized process
• Experience partnering closely with senior leaders and influencing recruiting strategy in ambiguous, fast-moving environments
• Comfort operating in fast-moving environments where hiring priorities and role definitions may evolve over time.

We prefer:

• Experience recruiting within highly technical or specialized environments such as ML/AI, distributed systems, infrastructure, scientific computing, or quantitative research. Track record of leading complex, ambiguous technical searches from early talent mapping through close.
• Deep interest in AI research, Deep Learning, and ML technical talent markets, and the broader ecosystem of labs, companies, and people shaping the frontier
• Experience navigating high-stakes negotiations with senior technical or research candidates.