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Home›Jobs›Roblox›Senior/Principal Machine Learning Infrastructure Engineer, Content Safety
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/Principal Machine Learning Infrastructure Engineer, Content Safety

Roblox • San Mateo, CA, United States

Posted 6h ago🏛️ On-SiteSeniorLeadMachine learning engineer📍 San mateo💰 $277,170 - $343,340 / year
Apply Now →

Skills & Technologies

Machine learningPythonTensorFlowAWSKubernetes

Overview

Roblox is seeking a Senior/Principal Machine Learning Infrastructure Engineer for their Content Safety team. You'll design and maintain machine learning systems to ensure user-generated content is safe and compliant. This role requires expertise in machine learning and cloud technologies.

Job Description

Who you are

You have 5+ years of experience in machine learning and infrastructure engineering, with a strong background in developing scalable systems that handle large volumes of data. Your expertise in Python and machine learning frameworks like TensorFlow allows you to build robust models that can detect and remediate problematic content in real-time. You are familiar with cloud platforms such as AWS and have experience deploying machine learning solutions using Kubernetes. You understand the importance of safety and civility in online communities and are passionate about creating a positive user experience. You thrive in collaborative environments and enjoy working with cross-functional teams to solve complex technical challenges. We encourage you to apply even if your experience doesn't match every requirement.

What you'll do

As a Senior/Principal Machine Learning Infrastructure Engineer at Roblox, you will lead the design and implementation of end-to-end machine learning systems that safeguard the platform. You will innovate on detection algorithms to identify abusive content across various media types, including 3D environments, code, and images. Your role will involve collaborating with data scientists and engineers to ensure that the models you develop are effective and efficient. You will also be responsible for maintaining and optimizing these systems to handle billions of engagement hours, ensuring they operate seamlessly at scale. You will have the opportunity to shape the future of content safety on Roblox, addressing some of the most pressing challenges in online safety today. Your work will directly impact the community, helping to create a safer and more respectful environment for users.

What we offer

Roblox offers a dynamic work environment where you can make a significant impact on the future of human interaction. You will be part of a team that values innovation and collaboration, working alongside talented individuals who are passionate about technology and community safety. We provide competitive compensation and benefits, along with opportunities for professional growth and development. Join us in our mission to connect a billion people with optimism and civility, and help us build the tools that empower our community to create amazing experiences.

Interested in this role?

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