[2026] Applied Scientist - PhD Intern

Key Skills

Aartificial intelligence, C++, Computer Vision (CV), Deep Learning, Java Programming, Machine learning techniques, Natural Language Processing (NLP), Python Programming

Job Description

Teams Hiring For This Role:

• Discovery: Build recommender and search systems, connecting millions of experiences to users via generative modeling, LLMs, and multimodal content understanding.
• Economy: Expand the ML backbone powering monetization, marketplace, and payments, solving problems related to fraud, pricing, and personalization
• Ads & Brands: Evolve the intersection of recommendation systems, ranking, and marketplace/auction theory to optimize sponsored content delivery
• Safety: Create scalable AI for real-time safety & moderation using LLMs, NLP, and computer vision to safeguard text, voice, and accounts.
• Engine: Develop innovative technology for our immersive 3D graphics, advancing geometry, physics simulation, motion diffusion models, and scalable distributed systems
• Creator: Empower creators with generative AI and NLP technologies, building intuitive tools for automated content understanding and real-time localization
• Foundational AI: Design and train 3D foundational models and optimize large-scale inference systems, enabling intelligent 3D content generation.
• Infrastructure: Build systems that ensure the reliability and scalability of Roblox’s datacenter, backbone, and edge networks, which support all of our production services.

You Will

• Prototype and experiment with advanced AI, machine learning, and 3D technologies to solve real-world challenges at scale
• Translate cutting-edge research into production-ready features by working alongside world class engineering and product teams
• Develop and deliver solutions that enhance user experience, safety, and creativity on a global platform

You Have

• Possessing or pursuing a PhD in computer science, engineering, or a related field, with a thesis aligned to Roblox’s research areas.
• Deep expertise in a relevant technical domain such as deep learning, computer vision, NLP, reinforcement learning, or distributed systems.
• Proficiency in one or more programming languages (e.g., Python, C++, Go, Java) and experience building and optimizing large-scale systems.
• A strong research track record, evidenced by multiple publications and presentations in top-tier, peer-reviewed venues.

You may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer.