Senior Machine Learning Workflow Engineer

2 Months ago • 10 Years + • Research Development • $120,000 PA - $210,000 PA

Job Summary

Job Description

This role is key to transforming our creative production pipeline using advanced innovations and elevating visual storytelling. The ideal candidate will prototype, integrate, develop, and support robust machine learning solutions, aligning innovation with evolving business and creative objectives. Responsibilities include integrating and optimizing machine learning models, developing flexible frameworks, leveraging existing datasets, prototyping proofs-of-concept, overseeing the full machine learning lifecycle, recommending open-source solutions, communicating with stakeholders, and championing best practices.
Must have:
  • 10+ years of programming experience, integrating ML solutions.
  • Extensive Python programming skills.
  • Strong proficiency in PyTorch.
  • Experience managing the complete machine learning lifecycle.
  • Outstanding communication skills.

Job Details

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.


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.


Minumum Requirements
  • 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.


$120,000 - $210,000 a year
This salary range is specific to applicants applying to our position in BC, Canada. To determine your base salary, we consider your qualifications, skills, and experience. These considerations can cause your compensation to vary outside of this range and will also be dependent on your location.

About Us

Scanline VFX is an award-winning leader in the visual effects industry with 8 studios worldwide, including London, Los Angeles, Montreal, Munich (will cease to operate by year's end), Seoul, Mumbai and Vancouver. Since our beginning in 1989, we strive to set the highest standard of quality in everything we do. Through innovation, we generate solutions for our clients and raise the bar — both within our workplace and throughout our industry.


We look for explorers, people who are willing to go to new places and are open to testing, learning and iterating as they go. We believe great ideas come from everyone, so we actively encourage team members to ask questions and present their ideas.


Eyeline Studios

Eyeline Studios, our virtual production division, is rethinking the future of real-time filmmaking by providing content creators with unmatched flexibility. Learn more.


Powered by Netflix

Netflix’s investment in our pipeline, infrastructure, and workforce allows us to continue to push the boundaries of what is possible in visual effects. In addition to working on projects for Netflix, we continue to work with a variety of long-standing and new clients.


Come as you are

We are committed to ensuring fair and equal treatment of your application. When you apply for a role with us, you will receive consideration based solely on your qualifications.


We will only consider applicants based in British Columbia, or those willing to relocate.

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