Senior Talent Business Partner, Early Career - AI/ML PhD

<div class="content-intro"><p><span style="font-weight: 400;">Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. </span></p> <p><span style="font-weight: 400;">At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.</span><strong> </strong><span style="font-weight: 400;">We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. </span></p> <p><span style="font-weight: 400;">A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.</span></p></div><p>As the <strong>Senior Talent Business Partner - AI/ML PhD on the Early Careers Recruiting team</strong>, you will be a driver for cultivating and converting the next generation of exceptional AI/ML technical talent. We’re looking for a PhD Recruiting expert to support Roblox’s ML and AI engineering growth as well as create and scale programs that are not just operationally excellent, but are a competitive differentiator, modeling the caliber of talent acquisition found at the world's most ambitious technology and AI companies.</p> <h4><strong>You Will:</strong></h4> <ul> <li>Own the end-to-end technical recruiting pipeline for PhD AI/ML roles including full-time and internships, helping to define the process as a scalable, distributed system that must maintain a high quality bar under extreme volume.</li> <li>Partner with engineering and data leaders to define role scopes, assess capability gaps, and shape hiring strategy across emerging domains like generative AI, LLMs, NLP, computer vision, and infrastructure automation.</li> <li>Relentlessly monitor recruiting health metrics to translate complex data into actionable insights and strategic recommendations with hiring partners.</li> <li>Act as a talent business partner to executive leadership, hiring managers, and cross-functional teams (PBPs, People Analytics, Engineering) to forecast needs, secure resources, and influence hiring velocity and quality.</li> <li>Design, implement, and continuously refine scalable, end-to-end PhD hiring programs that deliver an outstanding, human-centered candidate experience from first touchpoint through conversion and onboarding.</li> <li>Partner with leaders and cross functional partners to execute the PhD strategy including ML conferences, campus strategy, academic collaborations, and creative outreach strategies.</li> <li>Serve as a subject matter expert on AI/ML PhD market trends and innovative sourcing techniques.</li> <li>Ensure that operational excellence is at the forefront of our process - influencing and improving processes to help the team work smarter, faster, and at scale.<strong><br></strong></li> </ul> <h4><strong>You have:</strong></h4> <ul> <li>Progressive experience with 6+ years of full-lifecycle technical recruiting experience in a fast-paced environment, with a focused track record in Technical or University Recruiting</li> <li>Proven ability to manage high-volume pipelines, delivering quality results while championing a best-in-class candidate experience</li> <li>Capability to use data to drive decisions; strong proficiency in understanding recruiting data models, measuring ROI, and influencing strategy, ideally within a globally-recognized tech company (e.g., AI/ML, SaaS, Gaming, or similar competitive sectors)</li> <li>Experience acting as a strategic thought partner to technical leadership — bringing structured insights on global AI/ML talent dynamics and shaping long-term hiring strategies</li> <li>A strong track record of inf ... (truncated, view full listing at source)