AI Data Engineer - Remote

Overview

Moonvalley is developing cutting-edge generative AI models designed to power Superbowl-worthy commercials and award-winning cinematic experiences. Our inaugural, cutting-edge HD model, Marey, is built on exclusively licensed and owned data for professional use in Hollywood and enterprise applications.

In Short

• Build scalable, high-throughput data pipelines optimized for multi-modal video model training.
• Develop systems for data ingestion, deduplication, quality assessment, validation, filtering, and labeling.
• Optimize distributed data processing frameworks (e.g., Apache Spark, Ray, Airflow).
• Work with infrastructure teams to scale pipelines across thousands of GPUs.
• Implement strong observability and telemetry for all aspects of the data lifecycle.

Requirements

• Deep experience in building and scaling data infrastructure for large-scale ML systems.
• Solid background in ML engineering, including hands-on experience in training and optimizing classifiers.
• Experience managing large-scale datasets and pipelines in production.
• Expertise in Python, Spark, Airflow, or similar data frameworks.
• Understanding of modern infrastructure: Kubernetes, Terraform, object stores (e.g. S3, GCS).

Benefits

• Opportunity to work on cutting-edge AI technology.
• Work with an elite team of AI scientists and creative talent.
• Hybrid work model with some remote flexibility.
• Potential for personal and professional growth in a fast-paced environment.
• Engagement in meaningful projects that shape the future of media and entertainment.