Why Ads ML Infra
With Roblox Ads business growing at a rapid rate we are building large scale ads machine learning infrastructure to deliver effective performance ads to our users and more business values to our advertisers.
Were looking for an EM to lead a team of exceptional ML infrastructure engineers build scalable reliable and high-performance infrastructure that powers ML systems across our organization. Youll operate at the scales of hundreds of billions of engagements and redefine how we deliver performance ads to hundreds of millions of users.
You Will:
- Lead strategic planning and roadmap execution of scalable production-ready ML systems including model training data pipelines feature engineering and model inference.
- Own the architecture establish engineering best practices of scalability reliability and cost-effectiveness of ML infrastructure (e.g. training serving feature).
- Work closely with data scientists ML engineers platform teams and product stakeholders to design implement and operate robust ML platforms that accelerate model development and deployment.
- Recruit mentor and grow a high-performing team of ML infrastructure engineers.
You Have:
- 5 years of experience designing building and deploying large-scale machine learning systems in production environments.
- 2 years of experience managing ML infrastructure engineers
- End-to-End Execution: Youve built ML systems from data ingestion to serving in production.
- Team-first Mindset: A collaborative leader who thrives on mentoring and enabling others to succeed.
- BS MS or Ph.D. in Computer Science Engineering or equivalent experience.
Required Experience:
Manager
Why Ads ML InfraWith Roblox Ads business growing at a rapid rate we are building large scale ads machine learning infrastructure to deliver effective performance ads to our users and more business values to our advertisers.Were looking for an EM to lead a team of exceptional ML infrastructure engine...
Why Ads ML Infra
With Roblox Ads business growing at a rapid rate we are building large scale ads machine learning infrastructure to deliver effective performance ads to our users and more business values to our advertisers.
Were looking for an EM to lead a team of exceptional ML infrastructure engineers build scalable reliable and high-performance infrastructure that powers ML systems across our organization. Youll operate at the scales of hundreds of billions of engagements and redefine how we deliver performance ads to hundreds of millions of users.
You Will:
- Lead strategic planning and roadmap execution of scalable production-ready ML systems including model training data pipelines feature engineering and model inference.
- Own the architecture establish engineering best practices of scalability reliability and cost-effectiveness of ML infrastructure (e.g. training serving feature).
- Work closely with data scientists ML engineers platform teams and product stakeholders to design implement and operate robust ML platforms that accelerate model development and deployment.
- Recruit mentor and grow a high-performing team of ML infrastructure engineers.
You Have:
- 5 years of experience designing building and deploying large-scale machine learning systems in production environments.
- 2 years of experience managing ML infrastructure engineers
- End-to-End Execution: Youve built ML systems from data ingestion to serving in production.
- Team-first Mindset: A collaborative leader who thrives on mentoring and enabling others to succeed.
- BS MS or Ph.D. in Computer Science Engineering or equivalent experience.
Required Experience:
Manager
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