Senior Machine Learning Engineer, GenAI Data
Core
Architecting and scaling the data flywheel for foundation models (VideoGen, 3DGen) to enable high-fidelity data synthesis and evaluation for virtual world generation.
Role type
Senior IC machine learning engineer (data systems & GenAI)
Builds
Automated pipelines for multi-modal dataset ingestion, synthetic data generation, and scalable evaluation frameworks for foundation models.
Domain
Generative AI, 3D/4D content creation, video processing
Deliverable
production ML models
Required skills
Python, distributed data processing (Spark, Ray, Kubeflow), cloud data platforms (S3), C++, MLOps (Weights & Biases, MLflow), building human-in-the-loop tools, game development tools (Blender, Unreal Engine, Unity)
Preferred skills
Experience with 3D and video foundation models, literature review in generative modeling
Technologies
Python, Spark, Ray, Kubeflow, S3, C++, Blender, Unreal Engine, Unity, Weights & Biases, MLflow
Responsibilities
Architect automated pipelines for ingesting and pre-processing petabyte-scale multi-modal datasets; Leverage image/video generation models to scale synthetic datasets; Partner with research to create training data and implement synthetic data pipelines; Build evaluation frameworks automating metrics and human-in-the-loop interfaces; Design and optimize high-throughput inference APIs; Implement monitoring and resource efficiency for GPU usage
Seniority
Senior, hands-on IC with technical leadership
