Machine Learning Intern
Core
Research and engineering internship focused on developing next-generation video generation models, including post-training, inference efficiency, and multimodal data systems.
Role type
Machine Learning Research Intern
Builds
Advanced video generation models, data pipelines, and evaluation harnesses
Domain
Generative AI, Video Generation, Multimodal Systems
Deliverable
production ML models | research
Required skills
Python, distributed systems, cloud platforms (AWS/GCP/Azure), data pipeline construction, experimental design, model evaluation
Preferred skills
Experience with video/image/audio data, publications at top AI conferences, familiarity with Ray/PySpark/Airflow/Docker/Kubernetes
Technologies
FFmpeg, PyAV, DALI, OpenCV, Ray, PySpark, Airflow, Docker, Kubernetes, AWS, Google Cloud, Azure
Responsibilities
Develop reward models for video quality and prompt adherence, design large-scale experiments, build data ingestion and preprocessing systems, improve training workflow reliability, document findings for potential conference submission
Seniority
Intern
