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Home›Jobs›Roblox›Senior Machine Learning Infrastructure Engineer, Ads
Roblox

About Roblox

Empowering creators in a vibrant gaming universe

🏢 Tech, Gaming👥 1001+ employees📅 Founded 2006📍 South San Mateo, San Mateo, CA💰 $922.8m⭐ 3.8
B2CGamingEntertainmentCommunity

Key Highlights

  • Over 200 million monthly active users globally
  • More than $500 million paid to developers in 2022
  • Headquartered in South San Mateo, CA
  • $922.8 million raised in Series G funding

Roblox is an online gaming and entertainment platform headquartered in South San Mateo, CA, that connects over 200 million monthly active users. The platform empowers its community to create and monetize their own games, with over $500 million paid out to developers in 2022 alone. As a leader in the...

🎁 Benefits

Roblox offers competitive salaries, equity options, generous PTO policies, and a flexible remote work policy to support work-life balance. Employees a...

🌟 Culture

Roblox fosters a creator-centric culture, encouraging employees to innovate and collaborate while prioritizing user safety. The company values communi...

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Roblox

Senior Machine Learning Infrastructure Engineer, Ads

Roblox • San Mateo, CA, United States

Posted 3w ago🏛️ On-SiteSeniorMachine learning engineer📍 San mateo
Apply Now →

Skills & Technologies

PythonAWSTensorFlowKubernetesDockerApache SparkMLflowPostgreSQL

Overview

Roblox is seeking a Senior Machine Learning Infrastructure Engineer to build scalable ML infrastructure for their Ads team. You'll work with technologies like Python, AWS, and TensorFlow to deliver effective performance ads. This role requires 5+ years of experience in machine learning and infrastructure engineering.

Job Description

Who you are

You have 5+ years of experience in machine learning infrastructure engineering, with a strong background in building scalable systems that handle large volumes of data. Your expertise in Python allows you to develop robust ML models and data pipelines that support high-performance applications. You are familiar with cloud platforms, particularly AWS, and understand how to leverage their services to optimize ML workflows. Your experience with containerization technologies like Docker and orchestration tools such as Kubernetes enables you to deploy and manage ML systems efficiently. You have a solid understanding of data processing frameworks, including Apache Spark, and are skilled in using MLflow for managing the ML lifecycle. You are also proficient in working with databases like PostgreSQL to ensure data integrity and accessibility.

Desirable

Experience with feature engineering and model inference is a plus, as is familiarity with advertising technologies and performance metrics. You thrive in collaborative environments and enjoy leading technical discussions to shape the team's vision and roadmap. Your ability to communicate complex technical concepts to non-technical stakeholders is a valuable asset.

What you'll do

As a Senior Machine Learning Infrastructure Engineer at Roblox, you will lead the technical strategy for building scalable ML infrastructure that powers our Ads business. You will design and implement data pipelines that facilitate model training and inference, ensuring that our systems can handle hundreds of billions of engagements. Your role will involve collaborating with cross-functional teams to define the technical roadmap and establish foundational components that support our ML initiatives. You will also be responsible for optimizing the performance of our ML systems, identifying bottlenecks, and implementing solutions that enhance efficiency and reliability. Your contributions will directly impact how we deliver performance ads to our users and create value for our advertisers.

What we offer

At Roblox, you will be part of a mission-driven team that is reimagining how people connect and interact in digital spaces. We offer a competitive salary and benefits package, along with opportunities for professional growth and development. You will work in a dynamic environment where innovation is encouraged, and your ideas can shape the future of our platform. Join us in building a safer, more civil online community while tackling unique technical challenges at scale.

Interested in this role?

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