Talent Sourcing Partner, ML/AI

At Roblox, we are growing and looking for a Technical Sourcer to help build, scale, and influence our recruiting landscape. We are a fun and collaborative team focused on recruiting engineering talent. This person is a strong communicator, collaborator, and leads by example. Successful Builders embrace change and we encourage bringing in fresh ideas and a culture of feedback. As a Technical Sourcer you will directly impact the growth of the company and support our scaling efforts.

You Will:

• 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.
• Mentor and coach hiring managers and interviewers, raising the bar on calibration, evaluation, and selection practices.
• Champion a best-in-class candidate experience that reflects our values and culture at every stage of the process.
• Ensure operational excellence with clean pipelines, accurate data, and strong ATS hygiene.
• Use data and insights to diagnose bottlenecks, measure impact, and tell compelling stories to stakeholders.
• Act as a strategic thought partner to technical leadership — bringing structured insights on global AI/ML talent dynamics and shaping long-term hiring strategies.

You Have:

• 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
• A data-driven approach with the ability to analyze metrics, surface insights, and inform strategy.
• A startup mentality and open to thinking outside of the box
• Ability to be able to switch from sourcing to full-cycle recruiting on an as needed basis.