Principal Machine Learning Engineer - Content Understanding

As a Principal ML Engineer within the Creator Organization, you will lead, design, and build machine learning-driven solutions for the Content Understanding Team. Our team’s mission is critical: to build a deep, holistic understanding of the billions of experiences, 3D models, images, audio clips, text, and videos on our platform. Your work will directly empower search & discovery, content recommendations, platform safety, creator tools, and the next generation of generative AI experiences for millions of users worldwide.

As a Principal ML Engineer, you will be a key technical leader driving the research, design, and implementation of cutting-edge machine learning systems. This role sits at the exciting intersection of foundational AI research and large-scale engineering, focusing on areas like sophisticated multimodal understanding, advanced Large Language Models (LLMs), novel reasoning and reinforcement learning (RL) techniques, and scalable generative AI applications.

You Will:

• Lead the technical direction for complex content understanding challenges across diverse data types (image, 3D, audio, text, video).
• Design, build, and deploy robust, scalable end-to-end ML systems, from model training and evaluation to production inference services.
• Innovate by exploring state-of-the-art ML research (including multimodal AI, LLMs, RL, Generative AI) and applying practical, impactful solutions to Roblox products.
• Mentor other engineers and influence technical strategy across teams.
• Collaborate effectively with cross-functional partners including engineers, product managers, and researchers across Roblox.

You Have:

• Extensive Experience: 8+ years of hands-on experience designing, building, and shipping complex machine learning models into production environments at scale.
• Deep Learning Expertise: Profound understanding and practical application of deep learning architectures and algorithms, particularly in Computer Vision (CV). Expertise in other areas like NLP or Multimodal Learning is a strong plus.
• Technical Proficiency: Mastery of deep learning frameworks (PyTorch, TensorFlow) and the ML development lifecycle. Strong programming skills, particularly in Python (experience with C# is beneficial).
• Leadership: Proven ability to lead complex technical projects, make critical design decisions, influence technical roadmaps, and guide teams.
• Problem-Solving Mindset: A proactive, results-oriented approach to tackling ambiguous and challenging technical problems.

Bonus Points:

• Experience working with 3D models or in the game industry.
• Track record of research contributions (e.g., publications in top-tier conferences).
• Experience with large-scale distributed systems for ML training and inference.