Job Description

Job Title: Applied Scientist - PhD Intern

Company: Roblox

Years of Experience Required: PhD-level research experience (Industry experience preferred but not mandatory)

Location: Remote, San Mateo, CA, United States

Role Type: Full-Time

Salary: Not Disclosed

Eligibility: Candidates possessing or currently pursuing a PhD in Computer Science, Engineering, or related domains aligned with Roblox's research focus areas.

Role Overview

As an AI/ML Research Scientist at Roblox, you will work across highly specialized teams to drive innovation in generative AI, multimodal learning, 3D foundational modeling, recommendation systems, content safety, and large-scale distributed infrastructure. You will bridge research and production by developing experimental models, publishing breakthrough findings, and converting cutting-edge research into deployable solutions that enhance personalization, creativity, monetization, and user safety at scale on a global platform.

Key Responsibilities

• Experiment with and prototype advanced AI, ML, and 3D computation technologies to address complex, large-scale problems.
• Translate research into real-world production features in collaboration with engineering and product teams.
• Build and optimize models powering search, recommendation, monetization, safety, content moderation, and immersive experiences.
• Contribute to core technological advancements in areas such as recommender systems, distributed systems, real-time inference, and multimodal AI.
• Strengthen platform capabilities supporting creators, advertisers, and users through generative modeling, LLM-based systems, reinforcement learning, and structured data understanding.

Skills & Qualifications

• Currently pursuing or holding a PhD in Computer Science, Machine Learning, Computer Vision, NLP, Reinforcement Learning, Distributed Systems, or related fields.
• Deep expertise in at least one core research domain relevant to Roblox (e.g., LLMs, Generative AI, Computer Vision, Deep Learning, Reinforcement Learning, 3D Modeling, Safety Models, Distributed Infrastructure).
• Strong programming proficiency in one or more languages such as Python, C++, Go, or Java.