Senior Machine Learning Workflow Engineer

Eyeline Studios Eyeline Studios serves as Netflix's innovation hub, empowering creators to realize their visions and expand the horizons of visual storytelling.  By providing unmatched creative and technical environments, we enable filmmakers to explore next-generation technologies like volumetric capture, generative visualization workflows, in-camera and real-time visual effects, game engine workflows, dynamic lighting, and world capture.  Our mission is to tackle the challenges of tomorrow, making the seemingly impossible achievable, delivering photorealistic quality with exceptional speed and efficiency, and supporting creators in bringing their boldest creative visions to life. We want to provide you with a solid foundation where you can be a part of an innovative team of brilliant researchers, developers and virtual storytellers. Learn more. This role is key to harnessing advanced innovations to transform our creative production pipeline and elevate the art of visual storytelling. Reporting to the Director of Creative Technology & Innovation, the ideal candidate will prototype, integrate, develop, and support robust machine learning solutions, aligning innovation with evolving business and creative objectives. Key Responsibilities

Integrate and optimize machine learning models within established 2D and 3D software environments, ensuring seamless workflows in DCCs while providing ongoing support for systems already deployed in production

Develop, implement, and maintain flexible, intuitive frameworks that streamline the integration of ML-driven technologies into existing and emerging production workflows

Leverage existing datasets effectively and provide guidance to future data capture initiatives, contributing to improved decision-making processes and enhancing creative outputs

Prototype and deliver clear, effective proofs-of-concept for machine learning applications, clearly communicating and demonstrating their practical capabilities and constraints

Oversee the full machine learning lifecycle, including model training, debugging training issues, iterative refinement, and deployment

Evaluate and recommend open-source solutions compatible with our operational needs and objectives, ensuring technical choices align with production demands

Maintain clear and frequent communication with research scientists, technical artists, and production teams to bridge the gap between advanced research and practical, efficient production use

Communicate complex technical concepts with clarity to diverse stakeholders, ensuring alignment on goals, progress tracking, and collaborative resolution of challenges

Champion best practices and continuous improvements in our machine learning and software development methodologies, focusing on robust coding standards, effective package management, and efficient build processes

Adapt proactively to a fast-paced, rapidly evolving technology landscape, maintaining a keen interest and engagement with the latest machine learning research, developments, and methodologies

Qualifications

10+ years of programming experience, with substantial experience integrating machine learning solutions into creative production pipelines

Extensive Python programming skills, balancing rapid prototyping with robust, production-quality coding practices

Strong proficiency in PyTorch, along with working knowledge of key production tools and their APIs

Proven experience managing the complete machine learning lifecycle from initial model training and debugging through to production-ready deployment

Outstanding communication skills, adept at articulating complex technical concepts clearly and effectively to technical artists, production teams, and non-technical stakeholders

Ability to thrive in both independent and collaborative environments, proactively identifying process improvements and contributing positively to team efficiency

Active engagement with current machine learning advancements, coupled with the ability to swiftly adapt and integrate new techniques and technologies

High adaptability, exceptional problem-solving abilities, and comfort navigating the uncertainties and pace of a dynamic creative production setting