Senior Machine Learning Engineer (GenAI Data)

Join our Foundation AI organization as a Senior Machine Learning Engineer. In this role, you will be at the forefront of our foundation model efforts, building the infrastructure that defines how our models perceive and generate virtual worlds. You will partner directly with AI researchers, design and implement robust data pipelines, and ensure our foundation models receive the highest quality data. This position requires expertise in building scalable ML data pipelines, experience with large datasets, and a passion for generative AI.

• Architect and maintain automated pipelines for the ingestion, cleaning, and pre-processing of multi-modal datasets (video, 3D) spanning petabytes of data.
• Partner with research teams to create training data for research experiments and implement synthetic data creation pipelines.
• Design and optimize high-throughput, low-latency Inference APIs for internal and external consumer access.
• 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)
• A Bachelor's degree or equivalent experience in Computer Science, Computer Engineering, or a similar technical field
• Game development and digital content creation tools: Experience with making Roblox games, using Blender, Unreal Engine, or Unity
• Are passionate about the potential of generative AI, particularly in creative domains like 3D/4D content
• Custom Tooling Development: Experience building internal "human-in-the-loop" tools for data labeling specific to video or 3D
• 8+ years of experience as a research-focused data systems engineer (preferably working with 3D and video foundation models)
• Versatile: You're a generalist and you are comfortable with several languages and technologies already; you are adaptable in any situation
• Python Proficiency: You can write high-quality Python code for automation, tooling, and infrastructure management
• Team-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 boundaries
• Experience with cloud data platforms and distributed processing technologies (e.g., Spark, Ray, Kubeflow, S3, etc.)
• C++ Knowledge: Optimize the performance of data loaders and being comfortable modifying engine code
• MLOps Experience: Knowledge of experiment tracking (Weights & Biases, MLflow) and versioning for massive datasets