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Machine Learning Engineer, Safety Experience

Machine Learning Engineer, Safety Experience

RobloxSan Mateo, CA, United States
Hace más de 30 días
Tipo de contrato
  • A tiempo completo
Descripción del trabajo

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.

The Safety Experience organization builds the tools and systems that give Roblox Users and Creators control over their experience and empower moderators to enforce our community standards. These teams focus on education, intervention, visibility, and action.

We focus on :

  • Monitoring and influencing user behavior (User Safety)
  • Building efficient and scalable moderation platforms (Foundation)
  • Providing transparency and education for parents and developers (User Safety)
  • Giving users agency in managing their own safety (User Safety)
  • Give IP owners the ability to manage their creations on Roblox (Rights & Guidelines)
  • Providing users fast and accurate support with the Customer Care Chatbot (Customer Care)

You will :

  • Build end-to-end ML systems related to similarity detection and Computer Vision related classification and more
  • Drive the evolution of our safety experience into a scalable, adaptable system that supports dozens of customer teams with unique needs
  • Develop innovative detection approaches in a rapidly evolving landscape. Use a data-driven lens to think creatively, strategically, and adversarially to identify opportunities.
  • Shape the team's roadmap and technical direction. Drive execution, establish strong technical foundations, and mentor junior engineers.
  • Partner with AI Systems, PM, Data, and stakeholders across Roblox.
  • You have :

  • 7+ year experience in designing and building deep learning solutions to solve computer vision problems. Capable of breaking down product requirements into iterative deliverable stages. Experience in launching computer vision models into production.
  • MS or PhD degree in Computer Vision, Deep Learning, or a related field. You have solid fundamentals in Computer Vision and Deep Learning.
  • Nice to haves

  • Experience in anti-abuse / integrity / security domain is a plus
  • 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 an office are onsite Tuesday, Wednesday, and Thursday, with optional presence 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 to candidates with qualifying disabilities or religious beliefs during the recruiting process.

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