Roblox предлагает зарплату заметно выше рыночного ориентира, серьезную ML-роль и работу над рекомендательными системами огромного масштаба. Важно учитывать офисный формат три дня в неделю в Сан-Матео и возможное отсутствие будущей поддержки H-1B.
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Ограничения по визеЗарплата выше рынкаСовременный MLПонятная зона ответственности
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Engineering Manager (Machine Learning): Leading search and discovery machine learning systems that connect more than 120 million daily users with games, items, and social connections, with an accent on recommendation models, multimodal discovery, and generative AI. Focus on building ML strategy, managing engineering teams, and delivering robust models across the full development lifecycle.
Location: San Mateo, California, United States; office-based roles are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday.
Salary: $345,040–$399,420 USD annual base pay, plus potential equity and benefits.
Company
Roblox builds tools and a platform for immersive 3D digital experiences created by a global community of developers and creators.
What you will do
Lead and grow a high-performing team of machine learning engineers.
Establish the long-term strategy for homepage machine learning models.
Collaborate with ML platform, data science, and product teams to deliver state-of-the-art models.
Oversee the end-to-end development and delivery of robust machine learning solutions.
Mentor engineers and technical leaders through feedback and career development.
Manage cross-functional projects and communicate progress, risks, and challenges to senior stakeholders.
Requirements
5+ years of engineering management experience and 8+ years building machine learning systems.
Experience hiring, managing, and mentoring senior machine learning engineers and technical leaders.
Deep knowledge of machine learning architecture, algorithms, lifecycle management, and data requirements for training, serving, and monitoring.
Experience with state-of-the-art machine learning models and applying advanced ML solutions to product problems.
Ability to define technical strategy and roadmaps in ambiguous, fast-paced environments.
BS, MS, or PhD in Computer Science or a related technical field, or equivalent practical experience.
Culture & Benefits
High-trust, no-blame culture focused on growth-oriented mentorship and psychological safety.
Full-time employees are eligible for equity compensation and benefits.
Equal employment opportunities and reasonable accommodations are provided during the recruiting process.
For US-based roles, future H-1B sponsorship may not be supported, and some US visa categories may not be eligible.
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