Machine Learning Engineering Manager, Content Safety

2 Months ago • All levels • Research Development

Job Summary

Job Description

Roblox is seeking a Machine Learning Engineering Manager for Content Safety to lead an engineering team responsible for ensuring user-generated content across Roblox is safe and civil. This role involves owning the system for visual moderation, evaluating millions of pieces of content daily across various modalities like images, 3D experiences, and videos. The ideal candidate will have experience managing ML systems at scale, fostering a collaborative team culture, and partnering with stakeholders to define roadmaps and deliver innovative solutions for content safety.
Must have:
  • 2+ years of experience as an engineering manager
  • Excellence in collaboration and developing software engineers
  • Proven track record of technical delivery in high-scale environments
  • Ability to contribute to ML system architecture and implementation discussions
  • Experience solving problems with engineering and non-engineering stakeholders
Good to have:
  • Resourceful, solution-oriented, team-oriented, and empathetic
  • Versatile and team-oriented
  • Experience working with ML systems at scale

Job Details

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. 

At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. 

A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.

WHY CONTENT SAFETY?

Safety and Civility is Roblox's #1 priority and our mission is to protect our community. As a Machine Learning Engineering Manager on Content Safety, you'll lead an engineering team to ensure that user-generated content across Roblox is safe and civil. You’ll own our system for all visual moderation at Roblox, evaluating tens of millions of content per day across multiple modalities including images, 3D experiences, 3D avatars, videos, and more.

The ideal candidate is versatile, team-oriented, and has experience working with ML systems at scale.

You Will:

  • Shape and grow a high-performing engineering team. Support engineers, ranging from junior to principal, in their development.
  • Foster a team culture of collaboration, innovation, and engineering excellence; while getting things done.
  • Take responsibility for high-scale systems to detect and address problematic content on Roblox. Operate creatively and strategically in a highly adversarial space.
  • Own the team’s mission and outcomes. Work with stakeholders to define the team’s roadmap, and ensure execution.
  • Partner with Moderation Operations, PM, Data, and stakeholders across Roblox, to develop innovative solutions that ensure the safety of user-generated content.

You Have:

  • 2+ years of experience as an engineering manager
  • Excellence in collaborating with others, and in developing software engineers. You have demonstrated outcomes of facilitating team success.
  • A proven track record of technical delivery in high-scale environments with complex constraints
  • Ability to contribute to architecture and implementation discussions about high-scale ML systems
  • Experience solving difficult problems involving both engineering and non-engineering stakeholders

You Are:

  • Resourceful: You're able to navigate tough constraints to find the best solution. You stay laser-focused on the end goal and are adaptable, creative, and strategic to achieve it.
  • Solution Oriented: You start with the problem to be solved, and stay laser-focused on getting it solved. You can tackle anything that comes your way, whether it’s a technical problem, a business problem, or a people problem.
  • Team Oriented: You are constantly looking at how to make the team stronger – both the team you directly manage, and the team of peers you collaborate with.
  • Empathetic: You can put yourself in the shoes of anyone – a junior engineer, an executive, an adversarial attacker, a new user – and understand their needs.

For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.

Annual Salary Range
$289,460$338,270 USD

Roles that are based in our San Mateo, CA Headquarters are in-office Tuesday, Wednesday, and Thursday, with optional in-office on Monday and Friday (unless otherwise noted).

Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations for all candidates during the interview process.

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About The Company

San Mateo, California, United States (On-Site)

San Mateo, California, United States (On-Site)

San Mateo, California, United States (Hybrid)

San Mateo, California, United States (Hybrid)

San Mateo, California, United States (Remote)

San Mateo, California, United States (On-Site)

San Mateo, California, United States (Hybrid)

San Mateo, California, United States (Hybrid)

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