Distinguished Engineer, Machine Learning - Safety

2 Weeks ago • 15 Years + • Research Development • $391,590 PA - $448,990 PA

Job Summary

Job Description

Roblox is seeking a Distinguished Engineer, Machine Learning - Safety to lead the technical vision and execution of machine learning initiatives focused on user safety and civility. This role involves developing industry-leading safety features to ensure a safe and inclusive environment for the Roblox community. The engineer will report to the VP of Engineering for Trust and Safety, driving the platform's safety as it scales across different age groups and geographies. Responsibilities include owning the technical direction of safety-related ML systems, mentoring engineers, breaking down product requirements, building large-scale models, and facilitating technical decisions across teams. Collaboration with cross-functional teams to define the ML roadmap is also key. The ideal candidate will have extensive experience in delivering and improving large-scale ML systems, creating and launching models from scratch, handling data problems at scale, and experience with distributed systems and data architecture.
Must have:
  • 15+ years of experience in large-scale ML systems
  • Expertise in creating and launching ML models
  • Handle data problems and train models at scale
  • Experience with distributed systems and data architecture
  • Strong programming skills and hands-on willingness
  • Prior leadership and mentoring experience
Good to have:
  • NLP or computer vision experience
  • Familiarity with maintaining safety systems at scale
  • Knowledge of cutting-edge ML technologies, including LLMs

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.

As a Technical Director in the Safety organization at Roblox, you will drive the overall technical vision and execution for all machine learning initiatives focused on maintaining the safety and civility of our users. Our industry-leading safety features ensure Roblox remains a safe and inclusive environment for our community to express themselves creatively and share experiences without fear. The Safety org is the reason why Roblox is the safest place on the internet, protecting users You will be reporting to the VP of Engineering for Trust and Safety.from a content-focused perspective as the platform scales to serve different age groups and geographic locations. 

You Will:

  • Own the technical direction and implementation of machine learning solutions for safety-related systems
  • Lead and mentor other engineers, fostering 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 across multiple teams, demonstrating empathy and finding common understanding
  • Collaborate with cross-functional teams to define and prioritize the machine learning roadmap

You Have:

  • 15+ years of experience delivering and improving large-scale machine learning systems
  • Proven expertise in creating and launching machine learning models from scratch
  • Ability to handle data problems, train models with large datasets, and ensure system reliability at scale
  • Experience with distributed systems, data architecture, and model extraction
  • Strong programming skills and willingness to be hands-on as necessary
  • Prior experience in a leadership role with a technical focus, including mentoring engineering teams

You Are:

  • A creative and strategic problem-solver, able to simplify complex issues while integrating fresh ideas
  • Committed to fostering a diverse and inclusive workplace where everyone feels valued and supported
  • Passionate about maintaining deep technical expertise while meeting end-user needs
  • Knowledgeable about cutting-edge ML technologies, including LLMs
  • Experienced in NLP or computer vision (preferred)
  • Familiar with maintaining and evolving safety systems at scale (preferred)

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
$391,590$448,990 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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