Distinguished Machine Learning Engineer - Safety

Roblox
San Mateo, CA, USA2026-06-17

About the job

As a Distinguished Machine Learning Engineer/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 provide technical leadership on AI/ML efforts for Trust and Safety as the Roblox platform scales to serve different age groups and geographic locations.

Responsibilities

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

Qualifications

Minimum

10+ 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

Preferred

Experienced in NLP or computer vision (preferred)

Familiar with maintaining and evolving safety systems at scale (preferred)