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Creature Technical Director - Expression of Interest

ESPN (Disney)

Creature Technical Director - Expression of Interest

ESPN (Disney)

san francisco

·

On-site

·

Full-time

·

2w ago

Job Posting Title: Creature Technical Director - Expression of Interest Req ID: 10135051 Job Description: This posting is an opportunity to submit your resume for future consideration; this is not a role that is open at this time. We anticipate this role may be open in the future, but we are not actively hiring for the position. If you would like to be considered for this potential role, please submit your resume. If the role becomes available, you may receive an email or call from a recruiter. The Creature Technical Director rigs and envelops characters from heroes to background creatures, vehicles and props in Maya. The Creature Technical Director is able to wrangle rigging and creature pipeline issues proficiently under the direction and guidance of their supervisors; and has the ability to run flesh-surface, hair, rigid sim, crowd, and/or cloth simulations. **What You’ll Do** - Provide rigging and enveloping in Maya for various vehicles, characters, and creatures - Run cloth, hair, rigid body, crowd, or muscle simulations - Troubleshoot creature pipeline issues for artists in other disciplines - Script utilities/tools/plug-ins in Maya - Participate in reviews, dailies, and department meetings as required - Mentor entry level artists - Special projects as necessary **What We’re Looking For** - 3 years relevant professional experience and a diploma in computer graphics, fine arts, design, or photography, or related field; OR 5 years of relevant experience in lieu of education - Experience as Maya rigger for assets in digital animation, visual effects, games, commercials - Experience running simulation shotwork - Experience in corrective sculpting - Knowledge of anatomy and enveloping - Positive attitude and team player - Good communication skills - Nice to have: Experience with Massive or Houdini crowd software - C++ - Basic proficiency in another discipline - modeling, texture, TD, animation - Proficiency with Linux - Expertise with Maya - Experience with python scripting The hiring range for this position in San Francisco, CA is $90,400 to $118,700 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Job Posting Segment: ILM San Francisco Job Posting Primary Business: ILM San Francisco Primary Job Posting Category: Character Simulations - Studios, Rigging - Studios Employment Type: Full time Primary City, State, Region, Postal Code: San Francisco, CA, USA Alternate City, State, Region, Postal Code: Date Posted: 2025-10-21

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About ESPN (Disney)

ESPN (Disney)

The happiest place on earth.

1,001-5,000

Employees

Bristol

Headquarters

Reviews

3.2

3 reviews

Work Life Balance

1.5

Compensation

2.0

Culture

1.8

Career

3.2

Management

1.2

25%

Recommend to a Friend

Pros

Opportunity to work at well-known ESPN brand

Exposure to media management and editing experience

Chance to facilitate company-wide operational changes

Cons

Poor management and supervisor incompetence

Forced unpaid overtime and excessive work hours

Low pay and poor compensation

Salary Ranges

433 data points

Junior/L3

Mid/L4

Senior/L5

Intern

Director

Junior/L3 · Production Assistant

131 reports

$46,324

total / year

Base

$46,324

Stock

-

Bonus

-

$32,997

$65,035

Interview Experience

4 interviews

Difficulty

2.8

/ 5

Duration

14-28 weeks

Offer Rate

50%

Experience

Positive 50%

Neutral 50%

Negative 0%

Interview Process

1

Application Review

2

Phone Screen

3

Technical Interview

4

Onsite/Virtual Interviews

5

Hiring Manager Interview

6

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Culture Fit