Responsibilities
- Implement machine learning models and embed AI capabilities into visual effects production systems with minimal disruption to artist workflows.
- Develop intuitive web-based user interfaces, including dashboards, curation platforms, job management systems, and review tools, to streamline ML-driven processes.
- Partner with international teams and system architects to establish efficient data handling and MLOps infrastructure, ensuring solutions are well-documented and cost-efficient.
- Construct, bundle, and configure sophisticated software environments across Linux platforms.
- Enhance system performance, reliability, and monitoring through profiling, metric collection, and distributed tracing.
- Ensure robustness by conducting thorough testing at unit, integration, and end-to-end levels.
- Produce clear, accurate technical documentation and operational guides for both engineering and creative teams.
- Lead resolution of critical issues in ML-powered tools and services through advanced debugging and root cause analysis.
- Collaborate effectively under pressure, guide junior developers, delegate responsibilities when needed, and provide updates to leadership.
Work Arrangement
Remote (Worldwide)
Other
- Apply if you have a strong interest in developing, bundling, and setting up intricate software systems.
- Apply if you thrive in collaborative environments and have experience guiding and delegating tasks to team members.
- Apply if you are proficient in modern software engineering and machine learning technologies and enjoy working alongside engineers, researchers, and creative professionals.
- Apply if you prioritize system efficiency, dependability, and high-quality software design.
