Technical Sourcer, AI/ML, Short Term

Roblox•San Mateo, CA

9h•Hybrid

About The Position

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. The role is 6-month, with extensions possible depending on performance and business needs. We follow a hybrid schedule out of our San Mateo office, requiring in-office presence Tuesday–Thursday.

Requirements

10+ years of recruiting experience, 5 + years experience as a sourcer
3+ years in depth technical domain experience in 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.

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.
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.