Principal Machine Learning Infrastructure Engineer (Ads)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Principal Machine Learning Infrastructure Engineer (Ads): Lead and build scalable, reliable, and high-performance ML infrastructure for large-scale ads systems delivering performance ads to hundreds of millions of users with an accent on model training, data pipelines, feature engineering, and inference. Focus on designing and operating production-ready ML platforms, mentoring engineers, and adopting cutting-edge ML infrastructure technologies.
Location: Hybrid onsite at San Mateo, CA (onsite Tuesday to Thursday, optional Monday and Friday)
Salary: $289,460–$338,270 USD annually
Company
Roblox builds a platform empowering a global community to create and explore immersive 3D digital experiences, aiming to connect a billion people worldwide.
What you will do
- Lead strategic planning and roadmap execution of scalable production-ready ML systems including model training, data pipelines, feature engineering, and model inference.
- Own architecture and establish engineering best practices for scalability, reliability, and cost-effectiveness of ML infrastructure.
- Mentor and grow a team of ML infrastructure engineers, fostering collaboration and learning.
- Collaborate with data scientists, ML engineers, platform teams, and product stakeholders to design and operate robust ML platforms.
- Stay updated on industry trends to adopt leading-edge ML infrastructure technologies and practices.
Requirements
- Location: Based in or near San Mateo, CA with hybrid onsite schedule.
- 5+ years experience designing, building, and deploying large-scale ML systems in production.
- 3+ years experience leading ML infrastructure engineering teams.
- Strong communication skills and collaborative problem-solving approach.
- BS, MS, or Ph.D. in Computer Science, Engineering, or equivalent experience.
Culture & Benefits
- Equal employment opportunity and non-discrimination policy.
- Reasonable accommodations for disabilities and religious beliefs during recruiting.
- Equity compensation and comprehensive benefits.
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