Hybrid Modeler: Realistic CG Characters & Assets

Hybrid Modeler: Realistic CG Characters & Assets

Full-Time 39600 - 48400 Β£ / year (est.) Hybrid
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At a Glance

  • Tasks: Create stunning CG characters and assets that bring stories to life.
  • Company: Join the legendary team at ILM, a leader in visual effects.
  • Benefits: Enjoy a hybrid work model, competitive pay, and creative freedom.
  • Other info: Collaborative environment with opportunities for growth and innovation.
  • Why this job: Be part of groundbreaking projects and showcase your artistic talent.
  • Qualifications: Proficient in Maya and ZBrush with a strong portfolio.

The predicted salary is between 39600 - 48400 Β£ per year.

ILM is seeking a Modeler to bring characters and worlds to life through expert CG modeling.

You will collaborate with texture and creature teams as part of our production crew, applying a deep understanding of anatomy, form, function, and realistic workflows.

The role is hybrid, requiring at least 2 days on-site per week, with periodic work from home.

Proficiency in Maya and ZBrush, a strong portfolio in photorealistic assets, and excellent collaboration and time-management skills are essential.

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Hybrid Modeler: Realistic CG Characters & Assets employer: MFI Technologies Incorporated

As a Compositing Supervisor at our innovative studio, you will thrive in a dynamic and collaborative work culture that values creativity and technical excellence. With opportunities for professional growth and mentorship, you will be part of a team that is dedicated to producing high-quality visual effects while enjoying the flexibility of a hybrid work model. Our location fosters a vibrant community, making it an ideal place for passionate artists to develop their skills and contribute to exciting projects.

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Contact Details:

MFI Technologies Incorporated Recruitment Team

We think you need these skills to ace Hybrid Modeler: Realistic CG Characters & Assets

CG Modeling
Maya
ZBrush
Anatomy Knowledge
Form Understanding
Function Understanding
Realistic Workflows