Sr Machine Learning Engineer - Safety Experience

United States·San Mateosenior

Data ScienceMachine Learning EngineerDataData & AI

3 views0 saves0 applied

Apply Now

Quick Summary

Requirements Summary

MS or PhD degree + 2+ years of experience in Computer Vision, Deep Learning, or a related field. You have solid fundamentals in

Technical Tools

Data ScienceMachine Learning EngineerDataData & AI

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 Rights Manager team and the Content Suitability team that are part of our Safety Experience are looking to hire a Sr Machine Learning Engineer for their respective teams.

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.

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)

Work on implementation of machine learning solutions for safety-related systems
Help to foster a culture of technical excellence and inclusivity
Break down long-term product requirements into iterative deliverable stages, ensuring continuous improvement
Craft and build large-scale machine learning models with billions of parameters, ensuring production-readiness
Facilitate challenging technical decisions, demonstrating empathy and finding common understanding
Collaborate with cross-functional teams to execute on ML-based problems

MS or PhD degree + 2+ years of experience in Computer Vision, Deep Learning, or a related field. You have solid fundamentals in Computer Vision and Deep Learning.
Experience with the full ML lifecycle, including training, deployment, and continuous monitoring.
Experience with similarity detection and/or digital watermarking. This includes work on developing and re-training embedding models, including multi-modal models
Strong coding skills with proficiency in one or more programming languages and experience with building large-scale systems

Experienced in the safety, integrity, or content moderation domain.
Familiar with large-scale content understanding problems (e.g., text, image, video classification).
Experienced with cloud-based ML platforms and infrastructure.

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

$195,780—$242,100 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.

For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.