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Distinguished Machine Learning Engineer - Safety

Roblox
San Mateo, CA, United States
Posted 3 hours ago
Last seen 3 hours ago
Active
full-time
Machine Learning
$399,420—$457,970 USD

Job Summary

Join Roblox as a Distinguished Machine Learning Engineer - Safety to drive the technical vision for cutting-edge ML solutions, ensuring a safe and civil platform for millions. Lead the development of large-scale machine learning models and shape the future of human interaction in immersive digital experiences.

About this job

As a Distinguished Machine Learning Engineer/Technical Director in Roblox's Safety organization, you will lead the technical vision and execution for all ML initiatives focused on user safety and civility. This role involves crafting and building large-scale machine learning models, providing technical leadership, and collaborating with cross-functional teams to define the ML roadmap for a safe and inclusive environment.

Requirements

- 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 - 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)

Benefits & Perks

- Equity compensation - Benefits as described on this page

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