Senior Machine Learning Workflow Engineer
Job Description
Scanline VFX, an award-winning leader in the visual effects industry powered by Netflix, is seeking a Senior Machine Learning Workflow Engineer for their Vancouver studio. This pivotal role sits at the intersection of cutting-edge machine learning and creative production, working within Eyeline Studios - Netflix's innovation hub for visual storytelling.
The position offers an exciting opportunity to shape the future of visual effects through machine learning innovations. As a Senior ML Workflow Engineer, you'll be responsible for integrating and optimizing ML models within 2D and 3D software environments, developing robust frameworks, and managing the complete machine learning lifecycle from training to deployment. The role requires a unique blend of technical expertise and creative understanding, as you'll work closely with research scientists, technical artists, and production teams.
The ideal candidate brings 10+ years of programming experience, with deep expertise in Python and PyTorch. You'll need to demonstrate not just technical proficiency, but also exceptional communication skills to bridge the gap between advanced research and practical production applications. The position offers a competitive salary range of $120,000 to $210,000, reflecting the senior nature of the role and its impact on the organization.
Working in a hybrid environment, you'll be part of a global team spread across multiple studios worldwide. Scanline VFX's partnership with Netflix provides access to cutting-edge infrastructure and resources, enabling you to push the boundaries of what's possible in visual effects. The company's commitment to innovation and excellence makes this an ideal opportunity for a seasoned ML engineer looking to make a significant impact in the entertainment industry.
This role is perfect for someone who thrives in a fast-paced, creative environment and is passionate about applying machine learning to solve complex visual effects challenges. You'll have the opportunity to work on groundbreaking projects while contributing to the evolution of visual storytelling technology.
Responsibilities For Senior Machine Learning Workflow Engineer
- Integrate and optimize machine learning models within 2D and 3D software environments
- Develop and maintain frameworks for ML technology integration into production workflows
- Leverage existing datasets and guide future data capture initiatives
- Prototype and deliver proofs-of-concept for machine learning applications
- Oversee machine learning lifecycle including model training, debugging, and deployment
- Evaluate and recommend open-source solutions
- Maintain communication with research scientists and technical artists
- Champion best practices in machine learning and software development
- Adapt to rapidly evolving technology landscape
Requirements For Senior Machine Learning Workflow Engineer
- 10+ years of programming experience
- Extensive Python programming skills
- Strong proficiency in PyTorch
- Experience managing complete machine learning lifecycle
- Outstanding communication skills
- Ability to thrive in both independent and collaborative environments
- Active engagement with current machine learning advancements
- High adaptability and exceptional problem-solving abilities
