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.
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:

• 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

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

$399,420-$457,970 USD

Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).