Senior Machine Learning Engineer – Communication Safety

Senior Machine Learning Engineer – Communication Safety

Requirements

• Possess or pursuing a Ph.D. in Computer Science, Computer Engineering, Data Science, or a similar technical degree.
• Experience designing and supporting data systems (pipelines, tables, telemetry, batch/streaming jobs, etc.)
• Deep expertise in PyTorch or equivalent ML frameworks.
• Proficiency with distributed data processing systems like Spark.
• Interest in building and deploying ML systems to production at scale for voice or text.
• A passion for Building scalable AI solutions for real-time moderation and detection systems.

Responsibilities

• Build end-to-end ML systems to detect and address problematic content on Roblox.
• Design tools and systems that serve millions of Roblox users every day.
• Partner up with ML and Software engineers alike, enabling ML at all levels of the stack.
• Help define the team’s roadmap and long-term strategy towards keeping content and features on Roblox safe.

Preferred Qualifications

• Data-Literate: Schema design, telemetry, batch and streaming frameworks at scale. You understand the challenges of keeping data both intuitive to use and trustworthy.
• Responsible: You build systems that are robust, and use production incidents to learn and improve.
• Resourceful: You’re adaptable in any situation and can always find a path forward.
• Analytical: Excited to investigate large, ambiguous problems, and quantify the problems and the solutions.
• Team Oriented: You lift up your peers and find ways to make the team stronger. You foster a culture of technical excellence.
• Mission Oriented: You stay laser-focused on the mission and are versatile, creative, and strategic to achieve it. You think long-term, and find ways to deliver short-term value on the way to get there.
• User Oriented: You always start with the needs of the user, whether they are Roblox users or internal engineers before architecting a solution.