Research Scientist
Job Summary
Job Description
As a Senior Research Scientist at Eyeline Studios (Scanline VFX's virtual production division), you'll develop new technologies to revolutionize live-action content creation using computer vision, computer graphics, and machine learning. Responsibilities include solving high-impact problems in virtual production, VFX, and post-production; designing and implementing high-quality training data; preparing research publications; collaborating with stakeholders and engineering teams; and providing thought leadership. You will empower storytellers by creating innovative tools and algorithms that enhance their workflow, enabling artists to focus on creative aspects.
Must have:
- Experience in computer graphics, computer vision, and/or machine learning algorithms.
- Experience building and deploying algorithmic prototypes.
- Exceptional communication and interpersonal skills.
- High-energy self-starter with a positive attitude.
Good to have:
- Passion for movies/TV
9 skills required
Job Details
Eyeline Studios
At Eyeline, Scanline VFX's virtual production division, 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.
As a Senior Research Scientist, you will develop new technologies to revolutionize live-action content creation and storytelling. You will conduct applied research in computer vision and computer graphics leveraging Machine Learning. The primary objective of this position is to empower storytellers worldwide by creating innovative tools and algorithms that enhance virtual production, visual effects (VFX), and post-production. By leveraging your expertise, you will enable artists to concentrate on the creative aspects of their work while leveraging the most powerful tools to achieve their vision. Collaboration with content production teams, product management, and engineering teams will be crucial in order to develop and test novel models and algorithms.
Key Responsibilities
- Solve high-impact problems in content creation, including virtual production, VFX, and post-production, by applying computer graphics, computer vision, and machine learning approaches
- Design and implement high-quality training data acquisition efforts to drive next-generation machine learning algorithms
- Prepare research publications for submission to top-tier conferences in computer vision and computer graphics
- Collaborate closely with business stakeholders and engineering teams to seamlessly integrate the outcomes of your work into the content production workflow
- Provide thought leadership by identifying new areas where algorithms can make a significant impact within the organization
- Work alongside senior management and executives to shape the vision for how a data-driven Scanline VFX & Eyeline Studios can empower storytellers with innovative tools that enhance virtual production
Qualifications
- Demonstrated experience in developing computer graphics, computer vision, and/or machine learning algorithms, with applications in the VFX and/or animation industry
- Experience building and deploying prototypes for algorithmic solutions
- Exceptional interpersonal and communication skills coupled with strong business acumen
- Comfortable with ambiguity; able to take ownership, and thrive with minimal oversight and process
- High-energy self-starter with a passion for your work, tolerance for ambiguity in a fast-paced setting, and a positive attitude
- Passion for movies/TV is a plus!
About Us
Scanline VFX is an award-winning leader in the visual effects industry with 7 studios worldwide, including London, Los Angeles, Montreal, Munich, Seoul, Stuttgart, 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.
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.
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