
Talent Sourcing Partner, ML/AI
San Mateo, CA · San Mateo · USD 159,260-200,630 / year · 10+ years experience · Full-time · Onsite · Posted Oct 13, 2026
At a glance
- Experience
- 10+ years experience
- Employment
- Full-time
- Workplace
- Onsite
- Location
- San Mateo, CA · San Mateo
- Salary
- USD 159,260-200,630 / year · Base salary
- Visa sponsorship
- Visa sponsorship not offered
About the role
- Roblox is looking for a Technical Sourcer to help build, scale, and influence the recruiting landscape for engineering talent.
- This person will directly impact company growth and support scaling efforts by driving hiring for critical technical roles across Engineering, Machine Learning, AI, and Research.
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 company 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 by bringing structured insights on global AI/ML talent dynamics and shaping long-term hiring strategies.
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.
- 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.
Benefits
- Equity compensation
- Benefits as described on the company benefits page
Workplace
- Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
Skills
- Gem
- LinkedIn Recruiter
- SeekOut
- GitHub
- arXiv
- Google Scholar
- Generative AI
- LLMs
- Computer Vision
- Infrastructure Automation
- ATS