Senior Talent Business Partner, Early Career - AI/ML PhD (Short-Term)

Job Summary

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.

About the Role

You will be a driver for cultivating and converting the next generation of exceptional AI/ML technical talent. You will help define the process as a scalable, distributed system that maintains a high quality bar under extreme volume. You will 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.

Responsibilities

• 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.
• 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.
• Relentlessly monitor recruiting health metrics to translate complex data into actionable insights and strategic recommendations with hiring partners.
• 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.
• 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.
• Partner with leaders and cross-functional partners to execute the PhD strategy including ML conferences, campus strategy, academic collaborations, and creative outreach strategies.
• Serve as a subject matter expert on AI/ML PhD market trends and innovative sourcing techniques.
• Ensure that operational excellence is at the forefront of your process - influencing and improving processes to help the team work smarter, faster, and at scale.

Requirements

• 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
• Proven ability to manage high-volume pipelines, delivering quality results while championing a best-in-class candidate experience
• Proven 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)
• 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
• A strong track record of influencing stakeholders and solving complex recruiting challenges with creativity and innovation
• Ability to travel up to 25% to college campuses for various recruiting events (career fairs, info sessions, conferences) – contingent on health regulations

Preferred Qualifications

• 1+ year of demonstrated success hiring talent as research scientists, ML engineers, applied AI practitioners, and data leaders in highly competitive markets experience recruiting
• Deep familiarity with the academic landscape and research trends in Artificial Intelligence, Machine Learning, and Systems
• Experience in mid to large scale early career recruiting programs
• ML/AI Events and Conference strategy and engagement preferred
• Experience managing an internship program preferred

Benefits

This position is open to remote. There is no hard requirement to be hybrid out of our HQ office.

Pay

The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual hourly rate could fall outside of this expected range. This pay range is subject to change and may be modified in the future. Please note that not all benefits shown on this page are applicable to this temporary position.

Schedule

Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).