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 [https://www.eyelinestudios.com/].
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.
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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
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$120,000 - $210,000 a year
This salary range is specific to applicants applying to our position in
Vancouver, BC. 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.
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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.
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.
