Roblox предлагает чётко очерченную senior-роль в подборе специалистов по AI/ML, зарплату выше рыночного ориентира и влияние на стратегию найма в крупной продуктовой компании. Основные ограничения - требование от 10 лет опыта и обязательные офисные дни в Сан-Матео.
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Выше рынкаПонятная рольФокус на AI/MLОфисные дниВысокий порог
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Talent Sourcing Partner, ML/AI (Technical Recruiting): Driving hiring for engineering, machine learning, AI, research, and data leadership roles with an accent on strategic sourcing, talent-market intelligence, and scalable recruiting operations. Focus on engaging specialized AI/ML candidates, shaping hiring strategies with technical leaders, improving evaluation practices, and using data to diagnose recruiting bottlenecks.
Location: San Mateo, California, United States; office attendance is required Tuesday through Thursday, with optional presence on Monday and Friday
Salary: $159,260–$200,630 USD annual base pay
Company
Roblox builds tools and a platform for creating and experiencing 3D immersive digital experiences.
What you will do
Drive hiring for technical roles across engineering, machine learning, AI, research, and data.
Source and engage candidates through recruiting platforms, technical communities, GitHub, academic research channels, and AI/ML networks.
Partner with engineering and data leaders to define role scopes, identify capability gaps, and shape hiring strategies for generative AI, LLMs, computer vision, and infrastructure automation.
Provide talent-market insights on leveling, compensation, candidate profiles, and global AI/ML talent dynamics.
Mentor hiring managers and interviewers on calibration, evaluation, and selection practices while improving candidate experience.
Maintain accurate pipelines and ATS data, measure recruiting performance, and identify operational bottlenecks.
Requirements
10+ years of full-cycle recruiting experience with depth in AI, machine learning, or data science.
Experience hiring research scientists, ML engineers, applied AI practitioners, and data leaders in competitive markets.
Ability to manage high-volume pipelines while maintaining quality outcomes.
Experience using an applicant tracking system and analyzing recruiting metrics.
Strong stakeholder-influencing, communication, collaboration, and problem-solving skills.
Ability to switch between sourcing and full-cycle recruiting as needed.
Nice to have
Startup mentality and willingness to develop creative, nontraditional recruiting approaches.
Culture & Benefits
Collaborative recruiting environment focused on engineering talent.
Opportunities to influence recruiting processes and scaling strategy.
Equity compensation and employee benefits for full-time employees.
Equal employment opportunity and reasonable accommodation support.
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