Senior Machine Learning Engineer, 3D Data

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.As a Senior Software Engineer on the Foundation AI organization, you will sit at the epicenter of our foundation model efforts. While the research world is focused on architecture, you will be the architect of the data flywheel that makes VideoGen and 3DGen possible. You aren't just building pipelines; you are building the infrastructure that defines how our models perceive and generate virtual worlds in three dimensions and across time.In this role, you will partner directly with our AI researchers to advance beyond experimental datasets and into the realm of dynamic, high-fidelity data synthesis and evaluation. You will bridge the gap between research prototypes working locally to scaling for millions of users. You will design, implement, and scale robust, high-performance infrastructure to crawl, create, curate, store, and serve the massive datasets required for these models. We are seeking accomplished software engineers with a passion for data, experience building large distributed systems, and a commitment to writing high-quality, well-tested code to solve complex data challenges at scale. Your contributions will ensure that our foundation models receive the highest quality data, thereby supporting the next generation of creative AI.You will:High-Scale Data Orchestration: Architect and maintain automated pipelines for the ingestion, cleaning, and pre-processing of multi-modal datasets (video, 3D,) spanning petabytes of dataSynthetic Data Generation: Leverage image and video generation models to scale multi-modal synthetic datasetsResearch-to-Production Bridge: Partner with research teams to create training data for research experiments – research and implement synthetic data creation pipelinesScalable Evaluation Frameworks: Build and own evaluation—automating both heuristic-based metrics and human-in-the-loop interfaces to evaluate and benchmark training datasets and in-house foundation modelsModel Deployment & API Architecture: Design and optimize high-throughput, low-latency Inference APIs for internal and external consumer accessAutonomous SOTA Tracking: Actively participate in literature reviews and paper reading groups to identify and implement the latest optimizations in generative modelingResource Efficiency & Observability: Implement monitoring pipeline health, optimizing data loading to ensure GPUs are used efficientlyYou have:8+ years of experience as a research-focused data systems engineer (preferably working with 3D and video foundation models)Expertise in building scalable ML data pipelines for both batch and real-time environments. Experience working with and processing very large datasets (Petabytes or more).Versatile: You're a generalist and you are comfortable with several languages and technologies already; you are adaptable in any situationTeam-Player & Technical Leader: You are a collaborative team member who actively mentors peers, drives technical excellence, and takes ownership of leading and delivering key features and projects across team boundariesPython Proficiency: You can write high-quality Python code for automation, tooling, and infrastructure managementExperience with cloud data platforms and distributed processing technologies (e.g., Spark, Ray, Kubeflow, S3, etc.).Are passionate about the potential of generative AI, particularly in creative domains like 3D/4D content.A Bachelor's degree or equivalent experience in Computer Science, Computer Engineering, or a similar technical fieldYou are: MLOps Experience: Knowledge of experiment tracking (Weights & Biases, MLflow) and versioning for massive datasets.Custom Tooling Development: Experience building internal "human-in-the-loop" tools for data labeling specific to video or 3D.C++ Knowledge: Optimize the performance of data loaders and being comfortable modifying engine code.Game development and digital content creation tools: Experience with making Roblox games, using Blender, Unreal Engine, or Unity.For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.Annual Salary Range$243,290—$295,250 USDRoles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.