Talent Sourcing Partner, ML/AI

Key Responsibilities

• Drive hiring for critical technical roles across Engineering, Machine Learning, AI, Research.
• Proactively source and engage top talent through Gem, LinkedIn Recruiter, SeekOut, GitHub, arXiv, google scholar, and AI/ML research communities, amongst others.
• Influence and improve processes to help the team work smarter, faster, and at scale.
• Partner with engineering and data leaders to define role scopes, assess capability gaps, and shape hiring strategy across emerging domains like generative AI, LLMs, computer vision, and infrastructure automation.
• Share talent market insights with hiring managers to guide decisions on leveling, compensation, and candidate profiles.

Key Requirements

• 10+ years of full-cycle recruiting experience, with depth in technical domains like AI, Machine Learning, or Data Science.
• Proven ability to manage high-volume pipelines while delivering quality results
• Demonstrated success hiring research scientists, ML engineers, applied AI practitioners, and data leaders in highly competitive markets
• A strong track record of influencing stakeholders and solving complex recruiting challenges with creativity and innovation.
• Experience utilizing an Applicant Tracking System to maintain candidate pipelines