Applied AI Engineer - Remote

Overview

Moonvalley's mission is to solve Visual Intelligence in the age of generative AI. We are building technology that can tell stories, scale creativity, and understand both the physics and semantics of the world. Our team is an unprecedented convergence of talent across industries, with elite AI scientists and accomplished filmmakers working together.

In Short

• Join our technical team as an Integration/Deployment Research Engineer.
• Translate experimental ML research into robust, scalable systems.
• Design and maintain ML training and deployment pipelines.
• Optimize model inference for performance in distributed environments.
• Collaborate with research scientists on production workflows.
• Build tools for experiment tracking and reproducibility.
• Define best practices for testing and monitoring ML models.
• Work closely with creative and engineering teams to scale AI systems.
• Improve infrastructure for fast-paced experimentation cycles.
• Contribute to a hybrid work culture with occasional meetings in key locations.

Requirements

• BS/MS/PhD in Computer Science, Electrical Engineering, or related field.
• 5+ years of experience in software engineering focused on ML systems.
• Strong Python skills and experience with production-level codebases.
• Expertise with ML frameworks (e.g., PyTorch, TensorFlow).
• Familiarity with cloud platforms and containerization.
• Experience with distributed computing and model optimization techniques.
• Background in CI/CD and testing ML systems in production.
• Proficiency with ML workflow orchestration tools.
• Strong collaboration skills.
• Bonus: Experience in video/image processing pipelines.

Benefits

• Competitive salary and equity.
• Private health coverage.
• Pension contribution (UK, Canada, US).
• Unlimited paid vacation.
• Fully-distributed, async-first culture.
• Hardware setup of your choice.
• Stipends for phone, internet, and meals.